Electronic device comprising artificial intelligence model, first electronic device, and operating method of first electronic device

Abstract

An electronic device according to one embodiment of the present disclosure can be configured to: receive a first query related to a first subject from a first electronic device; acquire, on the basis of acquiring the first query, a first response corresponding to the first query by using a first artificial intelligence model; transmit the first response to the first electronic device; on the basis of acquiring, from the first electronic device, a command for sharing first information about the first query and the first response with a designated user, store the first information as information about a second electronic device corresponding to the designated user; on the basis of receiving a second query related to the first subject from the second electronic device, acquire a second response corresponding to the second query from the first artificial intelligence model on the basis of the second query and the first information; and transmit the second response to the second electronic device.

Description

Electronic device including an artificial intelligence model, first electronic device, and method of operating the first electronic device

[0001] Embodiments of the present disclosure relate to an electronic device including an artificial intelligence model, a first electronic device, and a method of operating the first electronic device.

[0002] Thanks to the remarkable advancements in information and communication technology and semiconductor technology, the proliferation and use of various electronic devices is rapidly increasing. Electronic devices are being developed to enable users to carry and communicate with one another. An electronic device can refer to any device that performs a specific function based on its embedded software, such as a mobile communication terminal, tablet PC (personal computer), wearable electronic devices, audio / video devices, desktop / laptop computers, or in-vehicle navigation systems.

[0003] Electronic devices can utilize artificial intelligence (AI) models to provide services for specific purposes. For example, AI models are being used in diverse fields such as voice recognition, content streaming, translation, photo editing, finance, new drug development, law, and the military.

[0004] The above information may be provided as background art to aid in understanding the present disclosure. No claim or determination is made as to whether any of the above-described matters constitute prior art related to the present disclosure.

[0005] According to one embodiment, an electronic device may include communication circuitry, at least one processor, and a memory storing instructions.

[0006] According to one embodiment, the instructions, when executed by the at least one processor, may be configured to cause the electronic device to receive, through the communication circuit, a first query related to a first topic from a first electronic device.

[0007] According to one embodiment, the instructions, when executed by the at least one processor, may be configured to cause the electronic device to obtain a first response corresponding to the first query using a first artificial intelligence model based on obtaining the first query.

[0008] According to one embodiment, the instructions, when executed by the at least one processor, may be configured to cause the electronic device to transmit the first response to the first electronic device via the communication circuit.

[0009] According to one embodiment, the instructions, when executed by the at least one processor, may be configured to cause the electronic device to obtain, through the communication circuit, a command from the first electronic device to share first information about the first query and the first response to a designated user, and to store the first information as information about a second electronic device corresponding to the designated user.

[0010] According to one embodiment, the instructions, when executed by the at least one processor, may be configured to cause the electronic device to, based on receiving a second query related to the first subject from the second electronic device through the communication circuit, obtain a second response corresponding to the second query from the first artificial intelligence model based on the second query and the first information.

[0011] According to one embodiment, the instructions, when executed by the at least one processor, may be configured to cause the electronic device to transmit the second response to the second electronic device via the communication circuit.

[0012] According to one embodiment, the first electronic device may include a speaker, a microphone, a display, communication circuitry, at least one processor, and a memory storing instructions.

[0013] According to one embodiment, the instructions, when executed by the at least one processor, may be configured to cause the first electronic device to execute a function utilizing the first artificial intelligence model.

[0014] According to one embodiment, the instructions, when executed by the at least one processor, may be configured to cause the first electronic device to obtain a first query related to a first subject through the display or the microphone based on executing the function.

[0015] According to one embodiment, the instructions, when executed by the at least one processor, may be configured to cause the first electronic device to output, through the display or the speaker, a first response corresponding to the first query obtained using the first artificial intelligence model based on obtaining the first query.

[0016] According to one embodiment, in the first electronic device, the first information may be used by the second electronic device to obtain a second response corresponding to a second query related to the first topic.

[0017] According to one embodiment, a method of operating a first electronic device may include an operation of executing a function using a first artificial intelligence model.

[0018] According to one embodiment, the method of operating the first electronic device may include an operation of obtaining a first query related to a first topic through a display included in the first electronic device or a microphone included in the first electronic device based on executing the function.

[0019] According to one embodiment, a method of operating a first electronic device may include an operation of outputting a first response corresponding to the first query obtained using the first artificial intelligence model through the display or the speaker based on obtaining the first query.

[0020] According to one embodiment, a method of operating a first electronic device may include an operation of transmitting, through the communication circuit, the first information to a second electronic device corresponding to the user so that the second electronic device stores the first information, based on a command to share first information about the first query and the first response to a designated user.

[0021] According to one embodiment, a method of operating a first electronic device is provided, wherein the first information can be used by the second electronic device to obtain a second response corresponding to a second query related to the first subject.

[0022] In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

[0023] FIG. 1 is a block diagram of an electronic device within a network environment according to various embodiments.

[0024] FIG. 2 is a schematic block diagram illustrating a system including an electronic device, a first electronic device, and a second electronic device, according to one embodiment.

[0025] FIG. 3 is a diagram illustrating an operation of an electronic device storing responses corresponding to queries received from a first electronic device and a second electronic device, according to one embodiment.

[0026] FIG. 4 is a flowchart illustrating an operation of an electronic device obtaining a response corresponding to a query according to one embodiment.

[0027] FIG. 5A is a diagram for explaining an operation of a first artificial intelligence model to obtain a response corresponding to a query based on a query, according to one embodiment.

[0028] FIG. 5b is a diagram for explaining an operation of a first artificial intelligence model to obtain a response corresponding to a query based on a query, according to one embodiment.

[0029] FIG. 5c is a diagram illustrating an operation of a second artificial intelligence model to obtain information on a specific topic based on information including a question and a response, according to one embodiment.

[0030] FIG. 6A is a flowchart illustrating an operation of an electronic device sharing a query and a response corresponding to the query, according to one embodiment.

[0031] FIG. 6B is a flowchart illustrating an operation of an electronic device updating second information to information related to a first subject, according to one embodiment.

[0032] FIG. 7 is a schematic block diagram illustrating a system including a first electronic device and a second electronic device, according to one embodiment.

[0033] FIG. 8 is a schematic block diagram illustrating a memory of a first electronic device and a memory of a second electronic device according to one embodiment.

[0034] FIG. 9 is a flowchart illustrating an operation of a first electronic device obtaining a response corresponding to a query, according to one embodiment.

[0035] FIG. 10 is a flowchart illustrating an operation of a first electronic device sharing a query and a response corresponding to the query, according to one embodiment.

[0036] FIG. 11 is a diagram showing a screen of a first electronic device on which a response corresponding to a query related to a first subject is output, according to one embodiment.

[0037] FIG. 12 is a diagram illustrating a screen of a first electronic device for designating a user to share first information about a question related to a first topic and a response corresponding to the question, according to one embodiment.

[0038] FIG. 13 is a diagram illustrating a screen of a second electronic device on which first information about a query shared from a first electronic device and a response corresponding to the query is output, according to one embodiment.

[0039] FIG. 14 is a diagram illustrating a screen of a first electronic device, according to one embodiment, in which a notification is output indicating that second information regarding a query related to a first subject and a response corresponding to the query received from a second electronic device have been updated with information regarding the first subject.

[0040] FIG. 15 is a diagram illustrating a screen of a first electronic device for stopping sharing of information about a first subject, according to one embodiment.

[0041] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings so that those skilled in the art can easily implement the present disclosure. However, the present disclosure may be implemented in various different forms and is not limited to the embodiments described herein. In connection with the description of the drawings, the same or similar reference numerals may be used for identical or similar components. Furthermore, in the drawings and related descriptions, descriptions of well-known functions and configurations may be omitted for clarity and conciseness.

[0042] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to various embodiments. Referring to FIG. 1, in the network environment (100), the electronic device (101) may communicate with the electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of the electronic device (104) or the server (108) via a second network (199) (e.g., a long-range wireless communication network). In one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0043] The processor (120) may, for example, execute software (e.g., a program (140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (120) may store commands or data received from other components (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the commands or data stored in the volatile memory (132), and store result data in a non-volatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or an auxiliary processor (123) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor (121). For example, when the electronic device (101) includes the main processor (121) and the auxiliary processor (123), the auxiliary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a given function. The auxiliary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0044] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, in the electronic device (101) itself where artificial intelligence is performed, or can be performed through a separate server (e.g., server (108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0045] The memory (130) can store various data used by at least one component (e.g., processor (120) or sensor module (176)) of the electronic device (101). The data can include, for example, software (e.g., program (140)) and input data or output data for commands related thereto. The memory (130) can include volatile memory (132) or non-volatile memory (134).

[0046] The program (140) may be stored as software in the memory (130) and may include, for example, an operating system (142), middleware (144), or an application (146).

[0047] The input module (150) can receive commands or data to be used in a component of the electronic device (101) (e.g., a processor (120)) from an external source (e.g., a user) of the electronic device (101). The input module (150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0048] The audio output module (155) can output audio signals to the outside of the electronic device (101). The audio output module (155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0049] The display module (160) can visually provide information to an external party (e.g., a user) of the electronic device (101). The display module (160) may include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. According to one embodiment, the display module (160) may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.

[0050] The audio module (170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (170) can acquire sound through the input module (150), output sound through the sound output module (155), or an external electronic device (e.g., electronic device (102)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (101).

[0051] The sensor module (176) can detect the operating status (e.g., power or temperature) of the electronic device (101) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (176) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0052] The interface (177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (101) with an external electronic device (e.g., the electronic device (102)). In one embodiment, the interface (177) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0053] The connection terminal (178) may include a connector through which the electronic device (101) may be physically connected to an external electronic device (e.g., electronic device (102)). According to one embodiment, the connection terminal (178) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0054] The haptic module (179) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. According to one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0055] The camera module (180) can capture still images and videos. According to one embodiment, the camera module (180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0056] The power management module (188) can manage power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

[0057] A battery (189) may power at least one component of the electronic device (101). In one embodiment, the battery (189) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0058] The communication module (190) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (101) and an external electronic device (e.g., electronic device (102), electronic device (104), or server (108)), and the performance of communication through the established communication channel. The communication module (190) may operate independently from the processor (120) (e.g., application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (190) may include a wireless communication module (192) (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (194) (e.g., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, the corresponding communication module can communicate with an external electronic device (104) via a first network (198) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (199) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (192) can verify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199) by using subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (196).

[0059] The wireless communication module (192) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) can support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (192) can support various requirements specified in the electronic device (101), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., the second network (199)). According to one embodiment, the wireless communication module (192) can support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0060] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (197) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (198) or the second network (199), may be selected from the plurality of antennas by, for example, the communication module (190). A signal or power may be transmitted or received between the communication module (190) and an external electronic device via the at least one selected antenna. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (197).

[0061] In one embodiment, the antenna module (197) may generate a mmWave antenna module. In one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band.

[0062] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0063] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102 or 104) may be the same or a different type of device as the electronic device (101). According to one embodiment, all or part of the operations executed in the electronic device (101) may be executed in one or more of the external electronic devices (102, 104, or 108). For example, when the electronic device (101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (101) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (101). The electronic device (101) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In another embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199).The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0064] FIG. 2 is a schematic block diagram illustrating a system including an electronic device, a first electronic device, and a second electronic device, according to one embodiment.

[0065] Referring to FIG. 2, a system (200) may include a first electronic device (201), an electronic device (203), and a second electronic device (202). According to one embodiment, the system (200) may represent a system that obtains a response corresponding to a query based on the electronic device (203) providing a query related to a specific topic (e.g., a first topic) obtained from the first electronic device (201) to an artificial intelligence model (e.g., the first artificial intelligence model (330) of FIG. 3) based on a large language model (LLM). According to one embodiment, the system (200) may represent a system in which the electronic device (203) can share a query and a response corresponding to the query with a plurality of users.

[0066] LLM can be referred to as a language model comprised of an artificial neural network pre-trained on a massive amount of text data. Compared to conventional general language models, LLM can contain more than 10 times as many parameters (e.g., more than 100 billion parameters). LLM can utilize a transformer artificial neural network structure based on an attention mechanism. The attention mechanism is a technique that helps an artificial intelligence model focus on important parts of input data. The attention mechanism can be used to predict output data by predicting the degree to which at least a portion of time-series input data (e.g., input data such as voice or video, or input data of some layers of a neural network) contributes to the intermediate or final output of the neural network. The recurrent neural network (RNN) structure, which sequentially processes each element of a sequence, has poor prediction performance when there is information dependency between long time series distances, but the attention mechanism can consider information dependency between long time series distances by controlling the degree of weight concentration within the overall (or partial) context of the input data.

[0067] For example, an LLM or transformer may include an encoder-decoder structure. The encoder may process input data and output compressed information (e.g., an attention mechanism), and the decoder may process the compressed information and output output data in token units. The encoder and decoder may each include an independent attention network, and may also include a cross-attention network connecting the encoder and decoder.

[0068] For example, LLM can be trained in two stages: pre-training and fine-tuning. Pre-training involves training the LLM to process large amounts of text data and acquire general linguistic knowledge. For example, this could involve self-supervised learning, where the LLM uses previous word sequences in a text sequence to predict the next word. Fine-tuning involves training the LLM to be suitable for a specific domain (e.g., chatbot, translation, summarization, Q&A) or task. This can be achieved by further supervised learning (or adaptive learning) based on the pre-trained model using datasets tailored to the domain's purpose. LLM can perform tasks with text inputs containing natural language, called prompts. For example, LLM can include BERT (bidirectional encoder representations from transformer) and GPT (generative pre-trained transformer). The term "LLM" can refer to the neural network model itself, but can also refer to the model of an LLM-based application (e.g., chatbot, translation, summarization, text classification, sentence generation). For example, an LLM-based chatbot such as chatGPT can also be referred to as an LLM. "LLM" can also include an inference engine that utilizes the LLM neural network model. For example, "entering an input prompt into an LLM" can be referred to as "entering an input prompt into an LLM-based inference engine."

[0069] According to one embodiment, the electronic device (203) may be implemented as a server that obtains a response corresponding to a query received from the first electronic device (201) and / or the second electronic device (202) and integrates and manages information on the query and the response. According to one embodiment, the electronic device (203) may obtain a response corresponding to a query related to a specific topic (e.g., the first topic) received from the first electronic device (201). According to one embodiment, the electronic device (203) may receive a command from the first electronic device (201) to share information on the query and response related to the specific topic (e.g., the first topic) with a designated user. According to one embodiment, when a query related to a specific topic (e.g., the first topic) is received from the second electronic device (202) corresponding to the designated user, the electronic device (203) may obtain a response corresponding to the query received from the second electronic device (202) by taking the above information into consideration. An electronic device (203) according to one embodiment can provide an environment in which multiple users can share information about questions and responses on a common topic.

[0070] According to one embodiment, the electronic device (203) may include a memory (211), a processor (221), and a communication circuit (291). According to one embodiment, the processor (221) may control the overall operation of the electronic device (203). The processor (221) may control the operations of the electronic device (203) by executing instructions stored in the memory (221). For example, the processor (221) may correspond to a plurality of processors that collectively perform a plurality of operations by dividing them among the processors. According to one embodiment, the electronic device (203) may provide information about a question and a response to the first electronic device (201) and / or the second electronic device (202).

[0071] According to one embodiment, the first electronic device (201) may include a memory (210) (e.g., the memory (130) of FIG. 1), a processor (220) (e.g., the processor (120) of FIG. 1), a microphone (230) (e.g., the input module (150) of FIG. 1), a speaker (240) (e.g., the audio output module (155) of FIG. 1), a display (260) (e.g., the display module (160) of FIG. 1), and a communication circuit (290) (e.g., the communication module (190) of FIG. 1). According to one embodiment, the processor (220) may control the overall operation of the first electronic device (201). The processor (220) may control the operations of the electronic device (201) by executing instructions stored in the memory (210). For example, the processor (220) may correspond to a plurality of processors that collectively perform a plurality of operations by dividing the operations among the processors. According to one embodiment, the first electronic device (201) may be implemented as various devices, such as a smartphone or a computing device (e.g., a PC or a laptop). According to one embodiment, the first electronic device (201) may also be implemented as a wearable electronic device, such as an augmented reality glass (AR glass), a video see-through (VST) device, and a virtual reality (VR) device.

[0072] According to one embodiment, the second electronic device (202) may include a memory (212) (e.g., the memory (130) of FIG. 1), a processor (222) (e.g., the processor (120) of FIG. 1), a microphone (232) (e.g., the input module (150) of FIG. 1), a speaker (242) (e.g., the audio output module (155) of FIG. 1), a display (262) (e.g., the display module (160) of FIG. 1), and a communication circuit (292) (e.g., the communication module (190) of FIG. 1). According to one embodiment, the processor (222) may control the overall operation of the second electronic device (202). The processor (222) may control the operations of the electronic device (202) by executing instructions stored in the memory (212). For example, the processor (222) may correspond to a plurality of processors that collectively perform a plurality of operations by dividing the operations among the processors. According to one embodiment, the second electronic device (202) may be implemented as various devices, such as a smartphone or a computing device (e.g., a PC or laptop). According to one embodiment, the second electronic device (202) may also be implemented as a wearable electronic device, such as an augmented reality glass (AR glass), a video see-through (VST) device, and a virtual reality (VR) device.

[0073] In one embodiment, the processor (220) may obtain a first query related to a first topic. For example, the processor (220) may obtain the first query in voice through a microphone (230) or in text through a display (260). For example, the first query may include a query for obtaining information.

[0074] According to one embodiment, the processor (220) may transmit a first query related to a first topic to the electronic device (203) via the communication circuit (290).

[0075] According to one embodiment, the processor (221) may receive a first query related to a first topic from the first electronic device (201) via the communication circuit (291). According to one embodiment, the processor (221) may obtain a first response corresponding to the first query based on providing the first query related to the first topic to the first artificial intelligence model (330) (e.g., the first artificial intelligence model (330) of FIG. 3). For example, the first response may include a response that provides information corresponding to the query. For example, the first artificial intelligence model (330) may include an artificial intelligence model based on a large language model (LLM). However, this is merely an example, and the first artificial intelligence model (330) may be implemented as various artificial intelligence models. For example, the first artificial intelligence model (330) may be stored in the memory (211) or may be stored in a separate external device (e.g., a server).

[0076] According to one embodiment, the processor (221) can store and manage first information about the first query and the first response as data for the first electronic device (201).

[0077] According to one embodiment, the processor (221) may transmit a first response corresponding to the first query to the first electronic device (201) via the communication circuit (291). According to one embodiment, the processor (220) may output the first response via the speaker (240) or the display (260) based on receiving the first response from the electronic device (203) via the communication circuit (290).

[0078] According to one embodiment, the processor (221) may classify the first information into information related to the first topic based on providing the first information regarding the first query and the first response to the second artificial intelligence model (340) (e.g., the second artificial intelligence model (340) of FIG. 3). For example, the second artificial intelligence model (340) may include an artificial intelligence model based on ML (machine learning). However, this is merely an example, and the second artificial intelligence model (340) may be implemented as various artificial intelligence models. For example, the second artificial intelligence model (340) may be stored in the memory (211) or may be stored in a separate external device (e.g., a server).

[0079] According to one embodiment, the processor (221) may transmit a message to the first electronic device (201) via the communication circuit (291) to cause the first electronic device (201) to output a notification indicating that the first information for the first inquiry and the first response is information related to the first topic.

[0080] According to one embodiment, the processor (220) may output a notification through the speaker (240) or the display (260) indicating that the first information can be shared with users stored in the first electronic device (201) based on receiving a message from the electronic device (203) indicating that the first information is information related to the first topic through the communication circuit (290).

[0081] According to one embodiment, the processor (220) may identify a command to share first information with a designated user among users stored in the first electronic device (201). For example, the processor (220) may identify a command to share first information with the designated user based on obtaining an input to share the first information with the designated user through the microphone (230) or the display (260).

[0082] According to one embodiment, the processor (220) may transmit a command to the electronic device (203) to share first information with a designated user via the communication circuit (290). According to one embodiment, the processor (220) may transmit information about the designated user to the electronic device (203) along with the command via the communication circuit (290). The information about the designated user may include information about a second electronic device (202) corresponding to the designated user.

[0083] According to one embodiment, the processor (221) may store and manage the first information about the first query and the first response as shared data for the first electronic device (201) and the second electronic device (202) based on receiving a command to share the first information about the first query and the first response with a designated user from the first electronic device (201) via the communication circuit (291). According to one embodiment, the processor (221) may store and manage the first information about the first query and the first response as data for the second electronic device (202) based on the command.

[0084] In one embodiment, the processor (222) may obtain a second query related to the first subject through a microphone (232) or a display (262). In one embodiment, the processor (222) may transmit the second query related to the first subject to the electronic device (203) through a communication circuit (292).

[0085] According to one embodiment, the processor (221) may receive a second query related to the first topic from the second electronic device (202) via the communication circuit (291). According to one embodiment, the processor (221) may check first information stored as data for the second electronic device (202). According to one embodiment, the processor (221) may obtain a second response corresponding to the second query based on providing the second query and the first information to the first artificial intelligence model (330). Through this, the processor (221) may obtain a second response that takes into account not only the second query but also the first information. The second electronic device (202) may provide a response that takes into account all of the history of consecutive queries to the user.

[0086] According to one embodiment, the processor (221) may transmit the second response to the second electronic device (202) via the communication circuit (291).

[0087] According to one embodiment, the processor (221) may update second information about the second query and the second response to information related to the first subject based on obtaining a second response corresponding to the second query. According to one embodiment, the processor (221) may store and manage the second information as data for the first electronic device (201) based on updating the second information to information related to the first subject. According to one embodiment, the processor (221) may transmit a message to the first electronic device (201) through the communication circuit (291) so that the first electronic device (201) outputs a notification indicating that the second information has been updated with respect to the first subject.

[0088] According to one embodiment, the processor (220) may output a notification indicating that the second information has been updated with respect to the first subject based on receiving a message from the electronic device (203) via the communication circuit (290) to cause the first electronic device (201) to output a notification indicating that the second information has been updated with respect to the first subject.

[0089] According to one embodiment, the processor (221) can determine whether the first information and the second information correspond to each other. According to one embodiment, if the processor (221) determines that the first information and the second information are information that conflict with each other, the processor (221) can determine that the first information and the second information do not correspond to each other. For example, if the first information includes information about a first date and a first location (e.g., a first response) and the second information includes information about a second date and a first location that are different from the first date (e.g., a second response), the processor (221) can determine that the first information and the second information are information that conflict with each other.

[0090] According to one embodiment, if the processor (221) determines that the first information and the second information for the second query and the second response correspond to each other, the processor (221) may update the second information to information related to the first subject.

[0091] According to one embodiment, if the processor (221) determines that the first information and the second information for the second query and the second response do not correspond to each other, the processor (221) may transmit information indicating that the first information and the second information do not correspond to each other to the first electronic device (201) and / or the second electronic device (202).

[0092] According to one embodiment, the processor (220) may output information indicating that the first information and the second information do not correspond to each other through the display (260) or the speaker (240) based on receiving information indicating that the first information and the second information do not correspond to each other.

[0093] According to one embodiment, the processor (222) may output information indicating that the first information and the second information do not correspond to each other through the display (262) or the speaker (242) based on receiving information indicating that the first information and the second information do not correspond to each other.

[0094] According to one embodiment, the processor (221) may update the third information to information related to the first topic based on receiving third information from the second electronic device (202) that changes the second response included in the second information to correspond to the first response included in the first information. According to one embodiment, when the processor (221) receives a third query about the first topic from the first electronic device (201), the processor (221) may obtain a third response corresponding to the third query from the first artificial intelligence model (330) based on the third query, the first information, and the second information. According to one embodiment, the processor (221) may transmit the third information about the third query and the third response to the first electronic device (201) and the second electronic device (202). According to one embodiment, when the processor (221) obtains a command to stop sharing information about a first subject from the first electronic device (201) through the communication circuit (291), the processor (221) may not transmit information about the first subject obtained after the time of obtaining the command to the second electronic device (202).

[0095] Based on the above-described method, a user of the first electronic device (201) and a user of the second electronic device (202) can be provided with responses that take into account the history of consecutive queries. This can increase the usability of an assistance function (e.g., an AI assistance utilizing the first artificial intelligence model (330)) running on the first electronic device (201) or the second electronic device (202).

[0096] The operations of the first electronic device (201) described in the drawings below may be performed by the processor (220). However, for convenience of explanation, the operations performed by the processor (220) will be described as being performed by the first electronic device (201).

[0097] The operations of the second electronic device (202) described in the drawings below may be performed by the processor (222). However, for convenience of explanation, the operations performed by the processor (222) will be described as being performed by the second electronic device (202).

[0098] The operations of the electronic device (203) described in the drawings below may be performed by the processor (221). However, for convenience of explanation, the operations performed by the processor (221) will be described as being performed by the electronic device (203).

[0099] FIG. 3 is a diagram illustrating an operation of an electronic device storing responses corresponding to queries received from a first electronic device and a second electronic device, according to one embodiment.

[0100] Referring to FIG. 3, the memory (211) (e.g., the memory (211) of FIG. 2) of the electronic device (203) (e.g., the electronic device (203) of FIG. 2) may include a user identification manager (311), a dialog analyzer (312), an AI assistant (313), a common memory manager (314), a first user memory (315), and a second user memory (316).

[0101] According to one embodiment, the user identification manager (311), the dialog analyzer (312), the AI ​​assistant (313), the common memory manager (314), the first user memory (315), and the second user memory (316) may be implemented in software, but at least some of them may be implemented in hardware.

[0102] According to one embodiment, the user identification manager (311) may identify a user corresponding to at least one device before executing a function based on the first artificial intelligence model (330). According to one embodiment, the user identification manager (311) may register devices corresponding to the first user (e.g., the first electronic device (201) (e.g., the first electronic device (201) of FIG. 2 ), and the third electronic device (310)). According to one embodiment, the user identification manager (311) can register devices corresponding to the second user (e.g., the second electronic device (202) (e.g., the second electronic device (202) of FIG. 2 and the fourth electronic device (320)). For example, the user identification manager (311) can register the first user based on an ID and a password. For example, the user identification manager (311) can register the second user based on an ID and a password. For example, the user identification manager (311) can register the first user based on a voice. For example, the user identification manager (311) can register the second user based on a voice. According to one embodiment, the user identification manager (311) can register the first user based on a voice, or an ID and a password, before executing a function based on the first artificial intelligence model (330). It can perform authentication for users.

[0103] According to one embodiment, the AI ​​assistant (313) may include a first AI model (330). For example, the first AI model (330) may include an AI model based on a large language model (LLM). The first AI model (330) may obtain a response corresponding to a query obtained from a device that has successfully authenticated a user. For example, the first AI model (330) may obtain a response corresponding to a first query based on a first query obtained from a first electronic device (201). The first AI model (330) may obtain a response corresponding to a second query based on a second query obtained from a second electronic device (202). According to one embodiment, the first artificial intelligence model (330) can obtain a response corresponding to the first query based on a first query obtained from the first electronic device (201) and information stored in the first user memory (315). According to one embodiment, the first artificial intelligence model (330) can obtain a response corresponding to the second query based on a second query obtained from the second electronic device (202) and information stored in the second user memory (316).

[0104] According to one embodiment, the first user memory (315) may store information about queries and responses corresponding to the queries received from devices corresponding to the first user (e.g., the first electronic device (201) (e.g., the first electronic device (201) of FIG. 2 ) and the third electronic device (310)). According to one embodiment, the second user memory (316) may store information about queries and responses corresponding to the queries received from devices corresponding to the second user (e.g., the second electronic device (202) (e.g., the second electronic device (202) of FIG. 2 ) and the fourth electronic device (320)). According to one embodiment, the first user memory (315) may further store information about queries and responses shared from an external electronic device (e.g., the second electronic device (202)). According to one embodiment, the second user memory (316) may further store information about queries and responses shared from an external electronic device (e.g., the first electronic device (201)).

[0105] In one embodiment, a dialogue analyzer (312) can analyze a dialogue. In one embodiment, the dialogue analyzer (312) can include a second artificial intelligence model (340). For example, the second artificial intelligence model (340) can include an artificial intelligence model based on machine learning (ML). In one embodiment, the second artificial intelligence model (340) can classify information about a question and a response corresponding to the question into information related to a specific topic. For example, the second artificial intelligence model (340) can classify the first information into information about the first topic based on being provided with first information about the first question and the first response. For example, the second artificial intelligence model (340) can classify the second information into information about the first topic based on being provided with second information about the second question and the second response.

[0106] According to one embodiment, although described as a first artificial intelligence model (330) and a second artificial intelligence model (340), respectively, the system (200) of the embodiments of the present invention may include one artificial intelligence model that performs the functions of the first artificial intelligence model (330) and the second artificial intelligence model (340). The descriptions related to the first artificial intelligence model (330) and the second artificial intelligence model (340) may be equally applied to one artificial intelligence model that performs the functions of the first artificial intelligence model (330) and the second artificial intelligence model (340).

[0107] In one embodiment, a common memory manager (314) can manage a first user memory (315) and a second user memory (316). In one embodiment, the common memory manager (314) can store information about a query and a response in the memory of a specific user based on obtaining a command to share the query and the response with a specific user. For example, the common memory manager (314) can store first information about a first query and a first response corresponding to the first query in the second user memory (316) based on obtaining a command to share first information about a first query and a first response corresponding to the first query with a second user. For example, the common memory manager (314) can store second information about a second query and a second response corresponding to the second query with the first user in the first user memory (315) based on obtaining a command to share second information about a second query and a second response corresponding to the second query with the first user.

[0108] FIG. 4 is a flowchart illustrating an operation of an electronic device obtaining a response corresponding to a query according to one embodiment.

[0109] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0110] Referring to FIG. 4, according to one embodiment, in operation 411, a first electronic device (201) (e.g., the first electronic device (201) of FIG. 2) may obtain a first query related to a first topic. For example, the first electronic device (201) may obtain the first query related to the first topic based on a textual input through a display (260) (e.g., the display (260) of FIG. 2). For example, the first electronic device (201) may obtain the first query based on a voice input through a microphone (230) (e.g., the microphone (230) of FIG. 2).

[0111] According to one embodiment, in operation 413, the electronic device (203) (e.g., the electronic device (203) of FIG. 2) may receive a first query related to a first topic from the first electronic device (201) via the communication circuit (291) (e.g., the communication circuit (291) of FIG. 2).

[0112] According to one embodiment, in operation 415, the electronic device (203) may obtain a first response corresponding to the first query from the first artificial intelligence model (330) (e.g., the first artificial intelligence model (330) of FIG. 3) based on the first query. For example, the first artificial intelligence model (330) may be stored in the memory (211) of the electronic device (203) (e.g., the memory (211) of FIG. 2) or may be stored in a separate external device (e.g., a server). For example, the first artificial intelligence model (330) may include an artificial intelligence model based on a large language model (LLM). According to one embodiment, the electronic device (203) may store and manage first information regarding the first query and the first response as data for the first electronic device (201).

[0113] According to one embodiment, in operation 417, the electronic device (203) may transmit a first response to the first electronic device (201) via the communication circuit (291).

[0114] In one embodiment, at operation 419, the first electronic device (201) may identify a command to share first information about the first query and the first response with a designated user. For example, the first electronic device (201) may identify a command to share the first information with the designated user based on identifying an input designating a user to share the first information with through the display (260) or the microphone (230).

[0115] In one embodiment, at operation 421, the electronic device (203) may receive a command from the first electronic device (201) via the communication circuit (291) to share first information about the first query and the first response to a designated user. In one embodiment, the electronic device (203) may further receive information about the designated user. In one embodiment, the information about the designated user may include information about a second electronic device (202) corresponding to the designated user.

[0116] According to one embodiment, in operation 423, the electronic device (203) may store and manage, based on the command, the first information about the first inquiry and the first response as shared data for the first electronic device (201) and the second electronic device (202). According to one embodiment, the electronic device (203) may also store and manage the first information about the first inquiry and the first response as data for the second electronic device (202).

[0117] According to one embodiment, in operation 425, the second electronic device (202) may obtain a second query related to the first topic. For example, the second electronic device (202) may obtain the second query through a display (262) (e.g., the display (262) of FIG. 2) or a microphone (232) (e.g., the microphone (232) of FIG. 2).

[0118] According to one embodiment, in operation 427, the electronic device (203) may receive a second query from the second electronic device (202) via the communication circuit (291).

[0119] According to one embodiment, in operation 429, the electronic device (203) may obtain a second response corresponding to the second query from the first artificial intelligence model (330) based on the second query and the first information. According to one embodiment, the electronic device (203) may check the first information stored as shared data for the first electronic device (201) and the second electronic device (202). The electronic device (203) may obtain the second response based on providing the second query and the first information to the first artificial intelligence model (330). Through this, the electronic device (203) may obtain a second response that takes into account not only the second query but also the first information. The second electronic device (202) may provide the user with a response that takes into account all of the history of consecutive queries.

[0120] According to one embodiment, in operation 431, the electronic device (203) may transmit the second response to the second electronic device (202) via the communication circuit (291). According to one embodiment, the second electronic device (202) may output the second response via a display (262) or a speaker (242) (e.g., the speaker (242) of FIG. 2).

[0121] FIG. 5A is a diagram for explaining an operation of a first artificial intelligence model obtaining a response corresponding to a query based on a query, according to one embodiment.

[0122] Referring to FIG. 5A, according to one embodiment, a first artificial intelligence model (330) (e.g., the first artificial intelligence model (330) of FIG. 3 ) may obtain a first response corresponding to a first query based on being provided with a first query. For example, the first query may include a text- or voice-based query. For example, the first response may include a text- or voice-based response.

[0123] According to one embodiment, the first artificial intelligence model (330) may include an artificial intelligence model based on a large language model (LLM). However, this is merely an example, and the first artificial intelligence model (330) may be implemented using various artificial intelligence models. For example, the first artificial intelligence model (330) may be stored in the memory (211) of the electronic device (203) (e.g., the memory (211) of FIG. 2 ) or may be stored in a separate external device (e.g., a server).

[0124] FIG. 5b is a diagram for explaining an operation of a first artificial intelligence model to obtain a response corresponding to a query based on a query, according to one embodiment.

[0125] Referring to FIG. 5B, according to one embodiment, the electronic device (203) (e.g., the electronic device (203) of FIG. 2) may, based on obtaining a command from the first electronic device (201) (e.g., the first electronic device (201) of FIG. 2) to share first information about a first question and a first response related to a first topic with a designated user, store and manage the first information as shared data for the second electronic device (202) (e.g., the second electronic device (202) of FIG. 2) corresponding to the designated user and the first electronic device (201). According to one embodiment, the electronic device (203) may also, based on obtaining the command, store and manage the first information as data for the second electronic device (202).

[0126] In one embodiment, the electronic device (203) can obtain a second query related to the first topic from the second electronic device (202). In one embodiment, the electronic device (203) can confirm the first information with data about the second electronic device (202).

[0127] According to one embodiment, the electronic device (203) may provide first information and a second query to a first artificial intelligence model (330) (e.g., the first artificial intelligence model (330) of FIG. 3).

[0128] According to one embodiment, the first artificial intelligence model (330) can obtain a second response corresponding to the second query based on being provided with first information and a second query for the first query and the first response.

[0129] FIG. 5c is a diagram illustrating an operation of a second artificial intelligence model to obtain information on a specific topic based on information including a question and a response, according to one embodiment.

[0130] Referring to FIG. 5C, according to one embodiment, the second artificial intelligence model (340) (e.g., the second artificial intelligence model (340) of FIG. 3) may classify the first information into information related to the first topic based on being provided with first information including a first query and a first response. For example, the second artificial intelligence model (340) may include an artificial intelligence model based on ML (machine learning). However, this is merely an example, and the second artificial intelligence model (340) may be implemented as various artificial intelligence models. For example, the second artificial intelligence model (340) may be stored in the memory (211) of the electronic device (203) (e.g., the memory (211) of FIG. 2) or may be stored in a separate external device (e.g., a server).

[0131] According to one embodiment, although described as a first artificial intelligence model (330) and a second artificial intelligence model (340), respectively, the system (200) of the embodiments of the present invention may include one artificial intelligence model that performs the functions of the first artificial intelligence model (330) and the second artificial intelligence model (340). The descriptions related to the first artificial intelligence model (330) and the second artificial intelligence model (340) may be equally applied to one artificial intelligence model that performs the functions of the first artificial intelligence model (330) and the second artificial intelligence model (340).

[0132] FIG. 6A is a flowchart illustrating an operation of an electronic device sharing a query and a response corresponding to the query, according to one embodiment.

[0133] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0134] Referring to FIG. 6A, according to one embodiment, an electronic device (203) (e.g., the electronic device (203) of FIG. 2) may obtain a first query from a first electronic device (201) (e.g., the first electronic device (201) of FIG. 2). According to one embodiment, the electronic device (203) may obtain a first response corresponding to the first query from a first artificial intelligence model (330) (e.g., the first artificial intelligence model (330) of FIG. 3).

[0135] According to one embodiment, in operation 611, the electronic device (203) (e.g., the electronic device (203) of FIG. 2) may classify the first information as information related to the first topic based on providing the first information for the first query and the first response to the second artificial intelligence model (340) (e.g., the second artificial intelligence model (340) of FIG. 3). For example, the second artificial intelligence model (340) may include an artificial intelligence model based on machine learning (ML).

[0136] According to one embodiment, in operation 613, the electronic device (203) may transmit a message to the first electronic device (201) (e.g., the first electronic device (201) of FIG. 2) via the communication circuit (291) (e.g., the communication circuit (291) of FIG. 2) so that the first electronic device (201) outputs a notification indicating that the first information is information related to the first topic.

[0137] According to one embodiment, in operation 615, the first electronic device (201) may output a notification indicating that the first information is information related to the first topic based on the message received from the electronic device (203). According to one embodiment, the first electronic device (201) may further output a notification indicating that the first information can be shared with multiple users.

[0138] In one embodiment, at operation 617, the first electronic device (201) may identify a command to share the first information with the designated user. For example, the first electronic device (201) may identify a command to share the first information with the designated user based on obtaining an input to share the first information with the designated user through the microphone (230) (e.g., the microphone (230) of FIG. 2) or the display (260) (e.g., the display (260) of FIG. 2).

[0139] According to one embodiment, in operation 619, the electronic device (203) may receive a command from the first electronic device (201) via the communication circuit (291) to share first information about the first query and the first response to a designated user.

[0140] According to one embodiment, in operation 621, the electronic device (203) may store and manage the first information as shared data for the second electronic device (202) corresponding to the designated user (e.g., the second electronic device (202) of FIG. 2) and the first electronic device (201) based on the command. According to one embodiment, the electronic device (203) may store and manage the first information as data for the second electronic device (202) based on the command.

[0141] According to one embodiment, in operation 625, the electronic device (203) may receive a second query related to the first topic from the second electronic device (202) via the communication circuit (291).

[0142] According to one embodiment, in operation 627, the electronic device (203) may obtain a second response corresponding to the second query from the first artificial intelligence model (330) based on the second query and the first information. According to one embodiment, the electronic device (203) may check the first information stored as data for the second electronic device (202). The electronic device (203) may obtain the second response based on providing the second query and the first information to the first artificial intelligence model (330). According to one embodiment, the electronic device (203) may store and manage the second information for the second query and the second response as data for the second electronic device (202).

[0143] According to one embodiment, in operation 629, the electronic device (203) may update the second information about the second query and the second response to information related to the first topic. According to one embodiment, the electronic device (203) may store and manage the second information about the second query and the second response as shared data for the second electronic device (202) and the first electronic device (201) based on updating the second information to information related to the first topic. According to one embodiment, the electronic device (203) may also store and manage the second information about the second query and the second response as data for the first electronic device (201) based on updating the second information to information related to the first topic.

[0144] In one embodiment, at operation 631, the electronic device (203) may transmit a message to the first electronic device (201) via the communication circuit (291) so that the first electronic device (201) may output a notification indicating that the second information has been updated to information about the first subject. In one embodiment, the first electronic device (201) may output a notification indicating that the second information has been updated to information about the first subject based on receiving the message via the communication circuit (290).

[0145] FIG. 6B is a flowchart illustrating an operation of an electronic device updating second information to information related to a first subject, according to one embodiment.

[0146] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0147] Referring to FIG. 6B, according to one embodiment, at operation 631, the electronic device (203) (e.g., the electronic device (203) of FIG. 2 ) may receive a command from the first electronic device (201) (e.g., the first electronic device (201) of FIG. 2 ) to share first information regarding a first query and a first response related to a first topic with a designated user. According to one embodiment, at operation 633, the electronic device (203) may obtain a second response corresponding to a second query from the first artificial intelligence model (330) (e.g., the first artificial intelligence model (330) of FIG. 3 ) based on the second query and the first information.

[0148] According to one embodiment, in operation 635, the electronic device (203) can check whether the first information and the second information for the second query and the second response correspond to each other.

[0149] According to one embodiment, if the electronic device (203) determines that the first information and the second information are information that conflict with each other, the electronic device (203) can determine that the first information and the second information do not correspond to each other. For example, if the first information includes information about a first date and a first location (e.g., a first response) and the second information includes information about a second date and a first location that are different from the first date (e.g., a second response), the electronic device (203) can determine that the first information and the second information are information that conflict with each other.

[0150] According to one embodiment, if the electronic device (203) determines that the first information and the second information for the second query and the second response correspond to each other (operation 635 - Yes), then in operation 637, the electronic device may update the second information with information related to the first topic.

[0151] According to one embodiment, if the electronic device (203) determines that the first information and the second information for the second query and the second response do not correspond to each other (operation 635-No), then in operation 639, the electronic device (203) may transmit information indicating that the first information and the second information do not correspond to each other to the first electronic device (201) and / or the second electronic device (202).

[0152] According to one embodiment, the first electronic device (201) may output information indicating that the first information and the second information do not correspond to each other through a display (260) (e.g., display (260) of FIG. 2) or a speaker (240) (e.g., speaker (240) of FIG. 2) based on receiving information indicating that the first information and the second information do not correspond to each other.

[0153] According to one embodiment, the second electronic device (202) may output information indicating that the first information and the second information do not correspond to each other through the display (262) (e.g., the display (262) of FIG. 2) or the speaker (242) (e.g., the speaker (242) of FIG. 2) based on receiving information indicating that the first information and the second information do not correspond to each other.

[0154] According to one embodiment, the electronic device (203) may update the third information to information related to the first subject based on receiving third information from the second electronic device (202) that changes the second response included in the second information to correspond to the first response included in the first information.

[0155] FIG. 7 is a schematic block diagram illustrating a system including a first electronic device and a second electronic device, according to one embodiment.

[0156] Referring to FIG. 7, according to one embodiment, a system (700) may include a first electronic device (201) and a second electronic device (202). The system (700) of FIG. 7 may not include an electronic device (203) compared to the system (200) of FIG. 2. Each of the first electronic device (201) and the second electronic device (202) may directly obtain a response corresponding to a query. The first electronic device (201) may directly transmit and receive information regarding a query and a response corresponding to the query to and from the second electronic device (202).

[0157] According to one embodiment, the processor (220) may execute a function using the first artificial intelligence model (810) (e.g., the first artificial intelligence model (810) of FIG. 8). The function using the first artificial intelligence model (810) may include a function of outputting a response corresponding to a user's query based on the user's query. For example, the first artificial intelligence model (810) may include an artificial intelligence model based on a large language model (LLM). According to one embodiment, the processor (220) may execute a function using the first artificial intelligence model (810) based on the execution of a specified application of the first electronic device (201).

[0158] For example, the processor (220) may acquire a first query related to the first topic through a microphone (230) or acquire a first query related to the first topic through a display (260) in text format. For example, the first query may include a query for acquiring information. For example, the first query may include a request to execute an application of the first electronic device (201) to perform a task.

[0159] According to one embodiment, the processor (220) may obtain a first response corresponding to the first query based on providing the first query to the first artificial intelligence model (810). According to one embodiment, the processor (220) may output the first response through the display (260) or the speaker (240). For example, the first artificial intelligence model (810) may be stored in the memory (210) or a separate device (e.g., a server). For example, the first response may include a response that provides information corresponding to the query. For example, the first response may include a response indicating that a task has been performed by executing an application of the first electronic device (201).

[0160] According to one embodiment, the processor (220) may classify the first information into information related to the first topic based on providing the first information regarding the first query and the first response to the second artificial intelligence model (820) (e.g., the second artificial intelligence model (820) of FIG. 8 ). For example, the second artificial intelligence model (820) may include an artificial intelligence model based on machine learning (ML). For example, the second artificial intelligence model (820) may be stored in the memory (210) or stored in a separate device (e.g., a server).

[0161] According to one embodiment, the processor (220) may store the first information in the memory (210) as information related to the first subject.

[0162] According to one embodiment, the processor (220) may output a notification indicating that first information classified as information related to a first topic can be shared through the display (260) or speaker (240).

[0163] According to one embodiment, the processor (220) may confirm a command to share first information about the first query and the first response to a designated user via a microphone (230) or a display (260).

[0164] In one embodiment, the processor (220) may transmit the first information to the second electronic device (202) so that the second electronic device (202) corresponding to the designated user stores the first information based on a command to share information related to the first topic with the designated user. In one embodiment, the processor (222) may store the first information in the memory (212) as information related to the first topic based on receiving the first information.

[0165] In one embodiment, the processor (222) may obtain a second query related to the first topic. In one embodiment, the processor (220) may obtain a second response corresponding to the second query based on providing the second query and the first information to the first artificial intelligence model (830) (e.g., the first artificial intelligence model (830) of FIG. 8). In one embodiment, the processor (222) may classify the second information as information related to the first topic based on providing the second information regarding the second query and the second response to the second artificial intelligence model (840) (e.g., the second artificial intelligence model (840) of FIG. 8). In one embodiment, the processor (222) may store the second information as information related to the first topic in the memory (212). According to one embodiment, although described as a first artificial intelligence model (810) and a second artificial intelligence model (820), respectively, the system (700) of embodiments of the present invention may include one artificial intelligence model that performs the functions of the first artificial intelligence model (810) and the second artificial intelligence model (820). The descriptions related to the first artificial intelligence model (810) and the second artificial intelligence model (820) may be equally applied to one artificial intelligence model that performs the functions of the first artificial intelligence model (810) and the second artificial intelligence model (820). According to one embodiment, although described as a first artificial intelligence model (830) and the second artificial intelligence model (840), respectively, the system (700) of embodiments of the present invention may include one artificial intelligence model that performs the functions of the first artificial intelligence model (830) and the second artificial intelligence model (840). The descriptions relating to the first artificial intelligence model (830) and the second artificial intelligence model (840) can be equally applied to one artificial intelligence model that performs the functions of the first artificial intelligence model (830) and the second artificial intelligence model (840).

[0166] According to one embodiment, the processor (222) may transmit second information regarding the second query and second response to the first electronic device (201). According to one embodiment, the processor (220) may update the second information regarding the second query and second response with information related to the first topic. According to one embodiment, the processor (220) may output a notification indicating that the information regarding the first topic has been updated through the display (260) or the speaker (240).

[0167] In one embodiment, the processor (220) may obtain a third query related to the first subject through the microphone (230) or the display (260). In one embodiment, the processor (220) may obtain a third response corresponding to the third query based on providing the third query, the first information, and the second information to the first artificial intelligence model (810). In one embodiment, the processor (220) may update the third information regarding the third query and the third response to the information related to the first subject.

[0168] According to one embodiment, the processor (220) may not transmit information about a query related to the first topic and a response corresponding to the query obtained from the first electronic device (201) to the second electronic device (202) after the command is confirmed based on the confirmation of a command not to share information related to the first topic with a designated user.

[0169] According to an implementation, in one embodiment, the processor (220) may obtain a command to share, among a plurality of queries and responses corresponding to the plurality of queries obtained by the first electronic device (201), at least one query obtained at a designated location and at least one response corresponding to the at least one query, to a designated user. In one embodiment, the processor (220) may share, based on the command, at least one query obtained at a designated location and at least one response corresponding to the at least one query, to the designated user.

[0170] According to an implementation, in one embodiment, the first query may include a query requesting to perform a first task, and the first response may include a response indicating that the first task has been performed. For example, the first task may include a task performed by executing an application of the first electronic device (201). For example, the first task may include a task of registering a first schedule in an application related to a schedule of the first electronic device (201). The first response may include a response indicating that the first schedule has been registered in the application related to the schedule of the first electronic device (201). The processor (220) may transmit the first information to the second electronic device (202) to share first information about the first query and the first response, while transmitting a message to the second electronic device (202) so that the second electronic device (202) registers the first schedule in the application related to the schedule of the second electronic device (202).

[0171] FIG. 8 is a schematic block diagram illustrating a memory of a first electronic device and a memory of a second electronic device according to one embodiment.

[0172] Referring to FIG. 8, according to one embodiment, a memory (210) (e.g., the memory (210) of FIG. 7) of a first electronic device (201) (e.g., the first electronic device (201) of FIG. 7) may include a user identification manager (811), a dialog analyzer (814), an AI assistant (813), a common memory manager (815), and a first user memory (812). According to one embodiment, the user identification manager (811), the dialog analyzer (814), the AI ​​assistant (813), the common memory manager (815), and the first user memory (812) may be implemented in software, but at least some of them may be implemented in hardware.

[0173] According to one embodiment, the memory (212) (e.g., the memory (212) of FIG. 7) of the second electronic device (202) (e.g., the second electronic device (202) of FIG. 7) may include a user identification manager (821), a dialog analyzer (824), an AI assistant (823), a common memory manager (825), and a second user memory (822). According to one embodiment, the user identification manager (821), the dialog analyzer (824), the AI ​​assistant (823), the common memory manager (825), and the second user memory (822) may be implemented in software, but at least some of them may be implemented in hardware.

[0174] According to one embodiment, the user identification manager (811) can identify a user corresponding to the first electronic device (201) before executing a function based on the first artificial intelligence model (810). According to one embodiment, the user identification manager (811) can register a first user corresponding to the first electronic device (201). For example, the user identification manager (811) can register the first user based on voice. For example, the user identification manager (811) can register the first user based on an ID and a password. According to one embodiment, the user identification manager (811) can authenticate the user based on voice for user identification, or an ID and a password, before executing a function based on the first artificial intelligence model (810).

[0175] In one embodiment, the AI ​​assistant (813) may include a first AI model (810). For example, the first AI model (810) may include an AI model based on a large language model (LLM). The first AI model (810) may obtain a response corresponding to a query obtained after successful user authentication. For example, the first AI model (810) may obtain a first response corresponding to the first query based on the first query.

[0176] In one embodiment, the dialogue analyzer (814) may include a second artificial intelligence model (820). For example, the second artificial intelligence model (820) may include an artificial intelligence model based on machine learning (ML). In one embodiment, the second artificial intelligence model (820) may classify information about a query and a response corresponding to the query into information related to a specific topic based on the information. For example, the second artificial intelligence model (820) may classify first information about a first query and a first response into information related to a first topic.

[0177] According to one embodiment, although described as a first artificial intelligence model (810) and a second artificial intelligence model (820), respectively, the system (700) of the embodiments of the present invention may include one artificial intelligence model that performs the functions of the first artificial intelligence model (810) and the second artificial intelligence model (820). The descriptions related to the first artificial intelligence model (810) and the second artificial intelligence model (820) may be equally applied to one artificial intelligence model that performs the functions of the first artificial intelligence model (810) and the second artificial intelligence model (820).

[0178] According to one embodiment, the first user memory (812) may store information about a plurality of questions and a plurality of responses for a first subject obtained from the first artificial intelligence model (810) as information about the first subject. According to one embodiment, the first user memory (812) may store information about a plurality of questions and a plurality of responses corresponding to the plurality of questions for the first subject received from the second electronic device (202) as information about the first subject. For example, the first user memory (812) may store first information about a first question and a first response for the first subject as information about the first subject. The first user memory (812) may store second information about a second question and a second response for the first subject received from the second electronic device (202) as information about the first subject.

[0179] According to one embodiment, when a query about a first topic is provided, the first artificial intelligence model (810) can obtain a response corresponding to the query based on information about the first topic stored in the first user memory (815).

[0180] In one embodiment, the common memory manager (815) may, based on obtaining a command to share a question and a response on a specific topic with a specific user, transmit information about the question and response to a device corresponding to the specific user so that the information about the question and response is stored in the memory of the device corresponding to the specific user. For example, the common memory manager (815) may, based on obtaining a command to share a first question and a first response corresponding to the first question with a second user, transmit first information about the first question and the first response to the second electronic device (202) so that the first information about the first question and the first response is stored in the memory (212) of the second electronic device (202) (e.g., the second user memory (822)).

[0181] According to one embodiment, the user identification manager (821) can identify a user corresponding to the second electronic device (202) before executing a function based on the first artificial intelligence model (830). According to one embodiment, the user identification manager (821) can register a second user corresponding to the second electronic device (202).

[0182] In one embodiment, the AI ​​assistant (823) may include a first AI model (830). For example, the first AI model (830) may include an AI model based on a large language model (LLM). For example, the first AI model (830) may obtain a second response corresponding to a second query based on a second query of a first subject.

[0183] In one embodiment, the dialogue analyzer (824) may include a second artificial intelligence model (840). For example, the second artificial intelligence model (840) may include an artificial intelligence model based on machine learning (ML). For example, the second artificial intelligence model (840) may classify second information regarding the second question and second response as information related to the first topic.

[0184] According to one embodiment, the second user memory (822) may store information about a plurality of questions and a plurality of responses for the first subject obtained from the first artificial intelligence model (830) as information about the first subject. According to one embodiment, the second user memory (822) may store information about a plurality of questions and a plurality of responses corresponding to the plurality of questions for the first subject received from the first electronic device (201) as information about the first subject. For example, the second user memory (822) may store second information about a second question and a second response for the first subject as information about the first subject. The second user memory (822) may store first information about a first question and a first response for the first subject received from the first electronic device (201) as information about the first subject.

[0185] According to one embodiment, when a query about a first topic is provided, the first artificial intelligence model (830) can obtain a response corresponding to the query based on information about the first topic stored in the second user memory (822).

[0186] In one embodiment, the common memory manager (825) may, based on obtaining a command to share a question and a response on a specific topic with a specific user, transmit information about the question and response to a device corresponding to the specific user so that the information about the question and response is stored in the memory of the device corresponding to the specific user. For example, the common memory manager (815) may, based on obtaining a command to share a second question and a second response corresponding to the second question with the first user, transmit second information about the second question and the second response to the first electronic device (201) so that the second information about the second question and the second response is stored in the memory (210) of the first electronic device (201) (e.g., the first user memory (812)).

[0187] FIG. 9 is a flowchart illustrating an operation of a first electronic device obtaining a response corresponding to a query, according to one embodiment.

[0188]

[0189] *In the examples below, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0190] Referring to FIG. 9, according to one embodiment, in operation 911, a first electronic device (201) (e.g., the first electronic device (201) of FIG. 7) may obtain a first query related to a first topic. For example, the first electronic device (201) may obtain a first query based on voice through a microphone (230) (e.g., the microphone (230) of FIG. 7) or may obtain a first query based on text through a display (260) (e.g., the display (260) of FIG. 7). For example, the first query may include a query for obtaining information. For example, the first query may also include a request to execute an application of the first electronic device (201) to perform a task.

[0191] According to one embodiment, in operation 913, the first electronic device (201) may output a first response corresponding to a first query obtained using the first artificial intelligence model (810) (e.g., the first artificial intelligence model (810) of FIG. 8). According to one embodiment, the first electronic device (201) may obtain the first response corresponding to the first query based on providing the first query to the first artificial intelligence model (810). According to one embodiment, the first electronic device (201) may output the first response through the speaker (240) (e.g., the speaker (240) of FIG. 7) or the display (260). For example, the first artificial intelligence model (810) may include an artificial intelligence model based on a large language model (LLM). For example, the first response may include a response that provides information corresponding to the query. For example, the first response may include a response indicating that the task was performed by executing an application of the first electronic device (201).

[0192] In one embodiment, at operation 915, the first electronic device (201) may identify a command to share first information about the first query and the first response with a designated user. For example, the first electronic device (201) may identify a command to share the first information with the designated user based on obtaining an input to share the first information with the designated user through the microphone (230) or the display (260).

[0193] In one embodiment, at operation 917, the first electronic device (201) may transmit the first information to the second electronic device (202) corresponding to the specified user (e.g., the second electronic device (202) of FIG. 7) so that the second electronic device (202) stores the first information. In one embodiment, the second electronic device (202) may store the first information.

[0194] According to one embodiment, in operation 919, the second electronic device (202) may obtain a second query related to the first topic through a microphone (232) (e.g., microphone (232) of FIG. 7) or a display (262) (e.g., display (262) of FIG. 7).

[0195] According to one embodiment, in operation 921, the second electronic device (202) may output a second response corresponding to the second query obtained using the first artificial intelligence model (830) (e.g., the first artificial intelligence model (830) of FIG. 8). For example, the first artificial intelligence model (830) may include an artificial intelligence model based on a large language model (LLM).

[0196] According to one embodiment, in operation 923, the first electronic device (201) may receive second information about the second query and the second response from the second electronic device (202).

[0197] According to one embodiment, in operation 925, the first electronic device (201) may output a notification indicating that the second information has been updated to information about the first topic. According to one embodiment, the first electronic device (201) may classify the second information as information about the first topic using the second artificial intelligence model (820) (e.g., the second artificial intelligence model (820) of FIG. 8). According to one embodiment, the second electronic device (202) may classify the second information as information about the first topic using the second artificial intelligence model (840) (e.g., the second artificial intelligence model (840) of FIG. 8) and transmit a message indicating that the second information is information about the first topic to the first electronic device (201).

[0198] FIG. 10 is a flowchart illustrating an operation of a first electronic device sharing a query and a response corresponding to the query, according to one embodiment.

[0199] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0200] Referring to FIG. 10, according to one embodiment, in operation 1011, a first electronic device (201) (e.g., the first electronic device (201) of FIG. 7) may classify the first information as information related to a first topic based on providing first information about a first query and a first response to a second artificial intelligence model (820) (e.g., the second artificial intelligence model (820) of FIG. 8). For example, the second artificial intelligence model (340) may include an artificial intelligence model based on ML (machine learning).

[0201] According to one embodiment, in operation 1013, the first electronic device (201) may output a notification indicating that first information classified as information related to the first topic can be shared through a speaker (240) (e.g., speaker (240) of FIG. 7) or a display (260) (e.g., display (260) of FIG. 7).

[0202] According to one embodiment, in operation 1015, the first electronic device (201) may confirm a command to share the first information with a user designated by the first electronic device (201) among a plurality of users. For example, the first electronic device (201) may confirm the command based on a user input designating a specific user among the plurality of users.

[0203] According to one embodiment, in operation 1017, the first electronic device (201) may transmit the first information to the second electronic device (202) corresponding to the specified user (e.g., the second electronic device (202) of FIG. 7) so that the second electronic device (202) stores the first information.

[0204] FIG. 11 is a diagram showing a screen of a first electronic device on which a response corresponding to a query related to a first subject is output, according to one embodiment.

[0205] Referring to FIG. 11, according to one embodiment, the first electronic device (201) (e.g., the first electronic device (201) of FIG. 7) may output a query acquired through a microphone (230) (e.g., the microphone (230) of FIG. 7) or a display (260) (e.g., the display (260) of FIG. 7) through the display (260). According to one embodiment, the first electronic device (201) may output a response acquired from a first artificial intelligence model (810) (e.g., the first artificial intelligence model (810) of FIG. 8) through the display (260). For example, the first electronic device (201) may output the query as text after “First user:” and output the response as text after “Assistant:”.

[0206] According to one embodiment, the first electronic device (201) can output a plurality of questions and a plurality of responses (1110) regarding a first topic (e.g., a trip to Jeju Island).

[0207] According to one embodiment, the first electronic device (201) may output a plurality of questions and a plurality of responses (1120) for a second topic (e.g., weekend evening appointments).

[0208] FIG. 12 is a diagram illustrating a screen of a first electronic device for designating a user to share first information about a question related to a first topic and a response corresponding to the question, according to one embodiment.

[0209] Referring to FIG. 12, according to one embodiment, a first electronic device (201) (e.g., the first electronic device (201) of FIG. 7) may classify information regarding a plurality of questions and a plurality of responses (1110) into a second artificial intelligence model (820) (e.g., the second artificial intelligence model (820) of FIG. 8) as information regarding a first topic (e.g., a trip to Jeju Island). According to one embodiment, the first electronic device (201) may classify information regarding a second topic (e.g., a weekend evening appointment) as information regarding a second topic (e.g., a weekend evening appointment) based on inputting information regarding a plurality of questions and a plurality of responses (1120) into the second artificial intelligence model (820).

[0210] According to one embodiment, the first electronic device (201) can output information about questions and responses related to topics that can be shared with multiple users stored in the first electronic device (201).

[0211] According to one embodiment, the first electronic device (201) may output, as information (1210) shareable with at least one user, a first query requesting a first task (e.g., make a reservation for a black pork restaurant near Dongmun Market on October 1st, yes, 12 o'clock) and a first response indicating that the first task has been completed (e.g., yes, make a reservation for a "Jeju black pork restaurant" at 12 o'clock) among a plurality of queries and a plurality of responses (1110) regarding a first topic (e.g., a trip to Jeju Island). According to one embodiment, the first task may include a task performed by executing an application installed in the first electronic device (201). For example, the first task may include executing an Internet-related application installed in the first electronic device (201) to access the homepage of the restaurant and make a reservation. It can represent a task.

[0212] According to one embodiment, the first electronic device (201) may output, as information (1220) shareable with at least one user, second information (e.g., weekend evening appointment, Saturday evening 7:00 Gangnam Station appointment, attendees: second user, third user) regarding a second query requesting a second task and a second response indicating completion of the second task among a plurality of queries and a plurality of responses (1120) regarding a second topic (e.g., weekend evening appointment). According to one embodiment, the second task may include a task performed by executing an application installed in the first electronic device (201). For example, the second task may represent a task of adding a schedule by executing an application related to a schedule installed in the first electronic device (201).

[0213] According to one embodiment, the first electronic device (201) can confirm a user input (1230) selecting first information (e.g., a trip to Jeju Island) as information to be shared with at least one user.

[0214] According to one embodiment, the first electronic device (201) may output a notification (1240) prompting at least one user (e.g., a second user, a third user) to enter information (1240) to share the first information.

[0215] According to one embodiment, the first electronic device (201) may verify a user input (1250) designating a second user as the user with whom the first information can be shared.

[0216] FIG. 13 is a diagram illustrating a screen of a second electronic device on which first information about a query shared from a first electronic device and a response corresponding to the query is output, according to one embodiment.

[0217] According to one embodiment, a second electronic device (202) (e.g., the second electronic device (202) of FIG. 7) may receive first information from a first electronic device (201) corresponding to a first user (e.g., the first electronic device (201) of FIG. 7). According to one embodiment, the second electronic device (202) may output a notification indicating that it may output the first information received from the first electronic device (201) (e.g., a conversation has been shared with you from the first user. Would you like to check the content?).

[0218] According to one embodiment, the second electronic device (202) can output the first information based on a user input that causes the first information to be output.

[0219] FIG. 14 is a diagram illustrating a screen of a first electronic device, according to one embodiment, in which a notification indicating that second information regarding a query related to a first subject and a response corresponding to the query received from a second electronic device has been updated with information regarding the first subject is output.

[0220] Referring to FIG. 14, according to one embodiment, a first electronic device (201) (e.g., the first electronic device (201) of FIG. 7) may receive, from a second electronic device (202) corresponding to a second user (e.g., the second electronic device (202) of FIG. 7), second information about a second query on a first topic and a second response corresponding to the second query.

[0221] According to one embodiment, the first electronic device (201) may output a notification indicating that information on the first topic has been updated based on receiving the second information (e.g., an update has occurred in the conversation you are sharing with the second user. Would you like to check the content?).

[0222] According to one embodiment, the first electronic device (201) can output information about the first topic that has been updated (e.g., the second user added a rental car reservation for the Jeju Island travel plan topic from October 1 to 2. The car reserved by the second user is a white Y model, and the rental car reservation was completed for the schedule from 9:00 AM on October 1 to 4:00 PM on October 2).

[0223] FIG. 15 is a diagram illustrating a screen of a first electronic device for stopping sharing of information about a first subject, according to one embodiment.

[0224] Referring to FIG. 15, a first electronic device (201) (e.g., the first electronic device (201) of FIG. 7) may obtain a response that outputs information about a topic shared with a second user (e.g., a trip to Jeju Island on October 1, a workout plan on December 5) based on providing a query requesting information about a topic shared with a second user to a first artificial intelligence model (810) (e.g., the first artificial intelligence model (810) of FIG. 8).

[0225] According to one embodiment, based on obtaining a user input to stop sharing information about a Jeju Island travel topic with a second user, the first electronic device (201) may not share information about a Jeju Island travel topic with a second electronic device (202) corresponding to the second user from the time the input is obtained.

[0226] According to one embodiment, the electronic device (203) may include a communication circuit (291), at least one processor (221), and a memory (211) for storing instructions.

[0227] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to receive a first query related to a first topic from a first electronic device via the communication circuit (291).

[0228] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to obtain a first response corresponding to the first query using a first artificial intelligence model (330) based on obtaining the first query.

[0229] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to transmit the first response to the first electronic device via the communication circuit (291).

[0230] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to obtain, through the communication circuit (291), a command from the first electronic device (201) to share first information about the first query and the first response to a designated user, and to store the first information as information about a second electronic device (202) corresponding to the designated user.

[0231] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to, based on receiving a second query related to the first subject from the second electronic device (202) via the communication circuit (291), obtain a second response corresponding to the second query from the first artificial intelligence model (330) based on the second query and the first information.

[0232] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to transmit the second response to the second electronic device (202) via the communication circuit (291).

[0233] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to classify the first information as information related to the first topic based on providing the first information about the first query and the first response to a second artificial intelligence model (340).

[0234] According to one embodiment, in the electronic device (203), the first artificial intelligence model (330) may include an artificial intelligence model based on a large language model (LLM), and the second artificial intelligence model (340) may include an artificial intelligence model based on machine learning (ML).

[0235] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to determine whether the first topic can be shared with the designated user.

[0236] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to, based on determining that the first subject is shareable to the designated user, transmit a message to the first electronic device (201) via the communication circuit (291) to output a notification indicating that the first electronic device (201) can share the first information to the designated user.

[0237] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to update second information about the second query and the second response to information related to the first subject based on obtaining the second response corresponding to the second query.

[0238] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to transmit a message to the first electronic device via the communication circuit (291) such that the first electronic device outputs a notification indicating that the second information has been updated with respect to the first subject.

[0239] According to one embodiment, the instructions, when executed by the at least one processor (221), may be configured to cause the electronic device (203) to, upon receiving a third query related to the first subject from the first electronic device through the communication circuit (291), obtain a third response corresponding to the third query from the first artificial intelligence model based on the third query, the first information, and the second information.

[0240] According to one embodiment, a method of operating an electronic device (203) may include an operation of receiving a first query related to a first topic from a first electronic device (201) through the communication circuit (291).

[0241] According to one embodiment, a method of operating an electronic device (203) may include an operation of obtaining a first response corresponding to the first query using a first artificial intelligence model (330) based on obtaining the first query.

[0242] According to one embodiment, the method of operating the electronic device (203) may include an operation of transmitting the first response to the first electronic device (201) through the communication circuit (291).

[0243] According to one embodiment, in a method of operating an electronic device (203), an operation may include obtaining, through the communication circuit (291), a command to share first information about the first inquiry and the first response to a designated user from the first electronic device (201), and storing the first information as information about a second electronic device (202) corresponding to the designated user.

[0244] According to one embodiment, in a method of operating an electronic device (203), based on receiving a second query related to the first subject from the second electronic device (202) through the communication circuit (291), an operation of obtaining a second response corresponding to the second query from the first artificial intelligence model (330) based on the second query and the first information may be included.

[0245] According to one embodiment, the method of operating the electronic device (203) may include an operation of transmitting the second response to the second electronic device through the communication circuit (291).

[0246] According to one embodiment, the method of operating the electronic device (203) may include an operation of classifying the first information into information related to the first topic based on providing the first information for the first query and the first response to a second artificial intelligence model (340).

[0247] According to one embodiment, in the method of operating the electronic device (203), the first artificial intelligence model (330) may include an artificial intelligence model based on a large language model (LLM), and the second artificial intelligence model (340) may include an artificial intelligence model based on machine learning (ML).

[0248] According to one embodiment, the method of operating the electronic device (203) may include an operation of checking whether the first subject can be shared with the designated user.

[0249] According to one embodiment, in a method of operating an electronic device (203), based on determining that the first subject can be shared with the designated user, an operation of transmitting a message to the first electronic device (201) through the communication circuit (291) to output a notification indicating that the first electronic device (201) can share the first information with the designated user may be included.

[0250] According to one embodiment, the method of operating the electronic device (203) may include an operation of updating second information about the second query and the second response to information related to the first subject based on obtaining the second response corresponding to the second query.

[0251] According to one embodiment, the method of operating the electronic device (203) may include an operation of transmitting a message to the first electronic device (201) via the communication circuit (291) so that the first electronic device (201) outputs a notification indicating that the second information has been updated with respect to the first subject.

[0252] According to one embodiment, in the operating method of the electronic device (203), when a third query related to the first subject is received from the first electronic device (201) through the communication circuit (291), an operation of obtaining a third response corresponding to the third query from the first artificial intelligence model (330) based on the third query, the first information, and the second information may be included.

[0253] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (221) of an electronic device (203), cause the electronic device (203) to perform at least one operation, wherein the at least one operation may include an operation of obtaining a first response corresponding to the first query using a first artificial intelligence model (330) based on obtaining the first query.

[0254] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (221) of an electronic device (203), cause the electronic device (203) to perform at least one operation, wherein the at least one operation may include transmitting the first response to the first electronic device (201) via the communication circuit (291).

[0255] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (221) of an electronic device (203), cause the electronic device (203) to perform at least one operation, wherein the at least one operation may include an operation of transmitting first information to a second electronic device (202) corresponding to the designated user so that the second electronic device (202) stores the first information based on obtaining, through the communication circuit (291), a command from the first electronic device (201) to share first information about the first inquiry and the first response to a designated user.

[0256] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (221) of an electronic device (203), cause the electronic device (203) to perform at least one operation, wherein the at least one operation may include: receiving a second query related to the first subject from the second electronic device (202) through the communication circuit (291), and obtaining a second response corresponding to the second query from the first artificial intelligence model based on the second query and the first information.

[0257] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (221) of an electronic device (203), cause the electronic device (203) to perform at least one operation, wherein the at least one operation may include transmitting the second response to the second electronic device (202) via the communication circuit (291).

[0258] According to one embodiment, the first electronic device (201) may include a speaker (240), a microphone (230), a display (260), a communication circuit (290), at least one processor (220), and a memory (210) for storing instructions.

[0259] According to one embodiment, the instructions, when executed by the at least one processor (220), may be configured to cause the first electronic device (201) to execute a function utilizing the first artificial intelligence model (810).

[0260] According to one embodiment, the instructions, when executed by the at least one processor (220), may be configured to cause the first electronic device (201) to obtain a first query related to a first topic through the display or the microphone based on executing the function.

[0261] According to one embodiment, the instructions, when executed by the at least one processor (220), may be configured to cause the first electronic device (201) to output, through the display (260) or the speaker (240), a first response corresponding to the first query obtained using the first artificial intelligence model (810) based on obtaining the first query.

[0262] According to one embodiment, in the first electronic device (201), the first information may be used by the second electronic device (202) to obtain a second response corresponding to a second query related to the first topic.

[0263] According to one embodiment, the instructions, when executed by the at least one processor (220), may be configured to cause the first electronic device to classify the first information as information related to the first topic based on providing the first information about the first query and the first response to a second artificial intelligence model.

[0264] According to one embodiment, in the first electronic device (201), the first artificial intelligence model (810) may include an artificial intelligence model based on a large language model (LLM), and the second artificial intelligence model (820) may include an artificial intelligence model based on machine learning (ML).

[0265] According to one embodiment, the instructions, when executed by the at least one processor (220), may be configured to cause the first electronic device (201) to determine whether the first topic can be shared with the designated user.

[0266] According to one embodiment, the instructions, when executed by the at least one processor (220), may be configured to cause the first electronic device (201) to output, through the display (260) or the speaker (240), information indicating that the first information can be shared with the designated user based on determining that the first subject can be shared with the designated user.

[0267] According to one embodiment, the instructions, when executed by the at least one processor (220), may be configured to cause the first electronic device (201) to update the second information to information related to the first subject based on receiving, through the communication circuit (290), second information about the second response corresponding to the second query from the second electronic device.

[0268] According to one embodiment, the instructions, when executed by the at least one processor (220), may be configured to cause the first electronic device (201) to output a notification through the display (260) or the speaker (240) indicating that the second information has been updated with respect to the first subject.

[0269] According to one embodiment, the instructions, when executed by the at least one processor (220), may be configured to cause the first electronic device (201) to, based on obtaining a third query related to the first subject through the display (260) or the microphone (230), output a third response corresponding to the third query obtained from the first artificial intelligence model (810) based on the third query, the first information, and the second information through the display (260) or the speaker (240).

[0270] According to one embodiment, in the first electronic device (201), the first query includes a query requesting to perform a first task related to the first subject, the first response includes a response indicating that the first task has been performed, and the first task may include a task performed by executing at least one application of the first electronic device (201).

[0271] According to one embodiment, a method of operating a first electronic device (201) may include an operation of executing a function using a first artificial intelligence model (810).

[0272] According to one embodiment, the operating method of the first electronic device (201) may include an operation of obtaining a first question related to a first topic through a display (260) included in the first electronic device (201) or a microphone (230) included in the first electronic device (201), based on executing the above function.

[0273] According to one embodiment, the operating method of the first electronic device (201) may include an operation of outputting a first response corresponding to the first query obtained using the first artificial intelligence model (830) through the display (260) or the speaker (240) based on obtaining the first query.

[0274] According to one embodiment, a method of operating a first electronic device (201) may include an operation of transmitting the first information to a second electronic device (202) corresponding to the user through the communication circuit, such that the second electronic device (202) stores the first information, based on a command to share the first information for the first inquiry and the first response to a designated user.

[0275] According to one embodiment, the method of operating the first electronic device (201) is such that the first information can be used by the second electronic device (202) to obtain a second response corresponding to a second query related to the first subject.

[0276] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a first electronic device (201), cause the first electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of executing a function using a first artificial intelligence model.

[0277] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a first electronic device (201), cause the first electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of obtaining a first question related to a first topic through a display (260) included in the first electronic device or a microphone (230) included in the first electronic device (201), based on executing the function.

[0278] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a first electronic device (201), cause the first electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of outputting, through the display (260) or the speaker (240), a first response corresponding to the first inquiry obtained using the first artificial intelligence model (810) based on obtaining the first inquiry.

[0279] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a first electronic device (201), cause the first electronic device to perform at least one operation, wherein the at least one operation may include an operation of transmitting, through the communication circuit, first information to a second electronic device (202) such that a second electronic device corresponding to the user stores the first information based on a command to share first information about the first inquiry and the first response to a designated user.

[0280] According to one embodiment, in a storage medium storing computer-readable instructions, the first information may be used by the second electronic device (202) to obtain a second response corresponding to a second query related to the first subject.

[0281] Electronic devices according to the various embodiments disclosed in this document may take various forms. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to the embodiments disclosed in this document are not limited to the aforementioned devices.

[0282] The various embodiments of this document and the terminology used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another component (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0283] The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0284] Various embodiments of the present document may be implemented as software (e.g., program (140)) including one or more commands stored in a storage medium (e.g., built-in memory (136) or external memory (138)) readable by a machine (e.g., electronic device (101, 201, 202, 203)). For example, a processor (e.g., processor (120, 220, 221, 222)) of a machine (e.g., electronic device (101, 501)) may call at least one command among the one or more commands stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the called at least one command. The one or more commands may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'Non-transitory' simply means that the storage medium is a tangible device and does not contain signals (e.g. electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently or temporarily on the storage medium.

[0285] According to one embodiment, the method according to various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) through an application store (e.g., Play Store™) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0286] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and arranged in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

1. In the electronic device (203), Communication circuit (291); At least one processor (221), and Includes a memory (211) for storing instructions, The above instructions, when executed by the at least one processor, cause the electronic device to: Through the above communication circuit, a first query related to a first subject is received from a first electronic device, Based on obtaining the first query, a first response corresponding to the first query is obtained using a first artificial intelligence model (330), Through the above communication circuit, the first response is transmitted to the first electronic device (201), Based on obtaining a command to share first information about the first inquiry and the first response to a designated user from the first electronic device through the communication circuit, storing the first information as information about a second electronic device (202) corresponding to the designated user, Through the communication circuit, based on receiving a second query related to the first subject from the second electronic device (202), a second response corresponding to the second query is obtained from the first artificial intelligence model based on the second query and the first information, An electronic device characterized by including instructions configured to transmit the second response to the second electronic device through the communication circuit.

2. In paragraph 1, The above instructions, when executed by the at least one processor, cause the electronic device to: An electronic device characterized in that it further includes instructions set to classify the first information into information related to the first topic based on providing the first information for the first query and the first response to the second artificial intelligence model (340).

3. In any one of paragraphs 1 and 2, The above first artificial intelligence model includes an artificial intelligence model based on a large language model (LLM), An electronic device, characterized in that the second artificial intelligence model includes an artificial intelligence model based on ML (machine learning).

4. In any one of paragraphs 1 to 3, The above instructions, when executed by the at least one processor, cause the electronic device to: Based on obtaining the second response corresponding to the second query, updating the second information about the second query and the second response to information related to the first topic, An electronic device further comprising instructions configured to transmit a message to the first electronic device via the communication circuit, the first electronic device outputting a notification indicating that the second information has been updated with respect to information related to the first subject.

5. In any one of paragraphs 1 to 4, The above instructions, when executed by the at least one processor, cause the electronic device to: An electronic device characterized in that it further includes instructions configured to obtain a third response corresponding to the third query from the first artificial intelligence model based on the third query, the first information, and the second information when receiving a third query related to the first subject from the first electronic device through the communication circuit.

6. In any one of paragraphs 1 to 5, The above instructions, when executed by the at least one processor, cause the electronic device to: Update the third information for the third question and the third response to the information related to the first topic, An electronic device further comprising instructions configured to transmit a message to the second electronic device via the communication circuit so as to output a notification indicating that the third information has been updated with respect to information related to the first subject.

7. In the first electronic device (201), Speaker (240); Mike (230); display (260); Communication circuit (290); At least one processor (220), and Includes a memory (210) for storing instructions, The above instructions, when executed by the at least one processor, cause the first electronic device to: Execute a function using the first artificial intelligence model (810), Based on executing the above function, a first query related to the first subject is obtained through the display or the microphone, Based on obtaining the first query, a first response corresponding to the first query obtained using the first artificial intelligence model is output through the display or the speaker, Based on the confirmation of a command to share first information about the first query and the first response to a designated user, instructions are included that are set to transmit the first information to the second electronic device (202) so that the second electronic device (202) communicatively connected to the first electronic device stores the first information through the communication circuit. The first information is a first electronic device used to obtain a second response corresponding to a second query related to the first subject.

8. In paragraph 7, The above instructions, when executed by the at least one processor, cause the first electronic device to: A first electronic device, characterized in that it further includes instructions set to classify the first information into information related to the first topic based on providing the first information for the first query and the first response to the second artificial intelligence model (820).

9. In any one of paragraphs 7 to 8, The above first artificial intelligence model includes an artificial intelligence model based on a large language model (LLM), A first electronic device, characterized in that the second artificial intelligence model includes an artificial intelligence model based on ML (machine learning).

10. In any one of paragraphs 7 to 9, The above instructions, when executed by the at least one processor, cause the first electronic device to: Based on receiving second information about the second response corresponding to the second query from the second electronic device through the communication circuit, updating the second information to information related to the first subject, A first electronic device, characterized in that the first electronic device further includes instructions configured to output a notification indicating that the second information has been updated with information on the first subject through the display or the speaker.

11. In any one of paragraphs 7 to 10, The above instructions, when executed by the at least one processor, cause the first electronic device to: A first electronic device, characterized in that it further includes instructions configured to output, through the display or the speaker, a third response corresponding to the third query obtained from the first artificial intelligence model based on the third query, the first information, and the second information, based on obtaining a third query related to the first subject through the display or the microphone.

12. In any one of paragraphs 7 to 11, The above instructions, when executed by the at least one processor, cause the first electronic device to: Update the third information for the third question and the third response to the information related to the first topic, A first electronic device, characterized in that the second electronic device further includes instructions configured to transmit a message to the second electronic device via the communication circuit so as to output a notification indicating that the third information has been updated with respect to information related to the first subject.

13. In any one of paragraphs 7 to 12, The first query includes a query requesting to perform a first task related to the first topic, and the first response includes a response indicating that the first task has been performed. A first electronic device, characterized in that the first task includes a task performed by executing at least one application of the first electronic device.

14. In the operating method of the first electronic device (201), An action to execute a function using the first artificial intelligence model (810); An operation of obtaining a first query related to a first subject through a display (260) included in the first electronic device or a microphone (230) included in the first electronic device based on executing the above function; An operation of outputting a first response corresponding to the first query obtained using the first artificial intelligence model through the display or the speaker based on obtaining the first query; and Based on the confirmation of a command to share first information about the first query and the first response to a designated user, the operation of transmitting the first information to a second electronic device (202) corresponding to the user through the communication circuit so that the second electronic device stores the first information, A method of operating a first electronic device, characterized in that the first information is used by the second electronic device to obtain a second response corresponding to a second query related to the first subject.

15. In paragraph 14, A method of operating a first electronic device, characterized in that it further includes an operation of classifying the first information into information related to the first topic based on providing the first information for the first query and the first response to a second artificial intelligence model (820).

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