1579results about "Other databases retrieval" patented technology

Systems and methods are provided for implementing automatic prompt optimization using textual gradients. In various embodiments, a feedback prompt, input into a large language model (“LLM”), is used to generate textual gradients that criticize a current prompt. The feedback prompt includes the current prompt and predictions that are incorrect compared with corresponding labels associated with minibatch data processed by the LLM using the current prompt. The textual gradients and current prompt are used in an editing prompt to the LLM to obtain a set of optimized prompts, which may be expanded using a paraphrasing prompt that is input into the LLM to generate a set of paraphrased prompts. A selection algorithm is used to select one or more optimized prompts from the set of optimized prompts and / or the set of paraphrased prompts, and the process is repeated with the selected one or more optimized prompts replacing the current prompt.

To realize improvement of complicated task execution ability under unpredictable circumstance, understanding and execution of high-level abstract instructions, effective integration of multi-modal feedback, enhancement of ability to adapt itself to change of environment and uncertainty, efficient use of knowledge base, and securing expandability.SOLUTION: The present invention is directed to a robot control system which integrates a large-scale language model, retrieval-enhanced generation technique, a visual system, a force sense module, a voice recognition and synthesizing module, a multi-modal integration module, and a robot control system. A language processing component recognizes high-level instructions, and dynamically selects and adapts relevant examples from a knowledge base by using the retrieval-enhanced generation technique. The visual system generates a three-dimensional expression of an environment. The force sense module measures force of an end effector. The multi-modal integration module integrates information from different modalities to realize environment understanding and adaptive action generation. Thus, it is possible to adapt the system to execution of complicated tasks and change of the environment under an unpredictable environment.SELECTED DRAWING: None

The invention relates to the technical field of data analysis, can be applied to business scenes of medical health, financial science and technology, cultural research and the like, and discloses a multi-modal abstract generation and output method, which comprises the following steps of: acquiring target domain data and cleaning to obtain structured data; extracting entities and association relationships among the entities from the structured data, and constructing a target domain knowledge graph; generating a text abstract containing entity associated information based on the target domain knowledge graph; matching the image data and the audio data corresponding to the text abstract, and integrating the text abstract, the image data and the audio data to generate a multi-modal abstract; and constructing a user portrait according to the user behavior data, and outputting the multi-modal abstract based on the user portrait. According to the method, extraction and analysis of entities and association relationships thereof are optimized through knowledge graph construction; through multi-modal fusion, associated display of texts, images and voices is realized; and through user portrait optimization output, the efficiency and adaptability of knowledge summarization are improved.

There are provided systems and methods for automated chatbots that detect privacy data sharing and leakage by other automated chatbot systems. A service provider and other chatbot services, including an electronic transaction processor, may provide self-service channels for assistance through chatbot and other automated computing processes. However, these chatbots may be regulated by compliance with privacy protection requirements, and therefore use of the chatbots and / or user data when responding to users via chatbots in chat sessions may be noncompliant and / or attacked by malicious users to compromise privacy protected data. In order to facilitate detection of leaks and shares by chatbots, an AI for a privacy protection chatbot may be trained on regulations for chatbot use and / or data security and privacy protection. The chatbot may then interact with other chatbots and question the other chatbots using the trained AI model to detect whether privacy protected data is exposed.

In some implementations, a computing device may include one or more processors, a memory for storing instructions that when executed by the one or more processors perform operations may include: accessing a drill plan for a drilling operation; receiving a plurality of drilling parameters for the drilling operation; generating a report including: a graphical depiction of the drilling operation based on the plurality of drilling parameters for the drilling operation, the graphic depiction including an animated or video illustration of the drilling operation within a past predetermined time period; a plurality of metrics associated with the drilling operation as provided by the drill plan; and a summary of a planned activity for a drilling operation for a future predetermined time period. Also, the device may include saving the report on a sever connected to a network. Further, the device may include providing the report to at least one user. Similar systems and methods may be used to automatically generate and distribute or provide access to video reports of completion and / or production activities during a first time interval and planned completion and / or production activities during a future, second time interval.

The invention discloses a self-adaptive data knitting performance optimization method based on artificial intelligence. The method comprises the steps of obtaining multi-source heterogeneous data based on a data source list and analyzing the multi-source heterogeneous data to generate a metadata set at least comprising technical metadata, business metadata, operation metadata and management metadata; based on the virtual table interface, performing virtual table abstraction and packaging processing on the metadata set to generate a logic data carrier; determining an operational attribute of the metadata set to generate a data knitting path of the logical data carrier based on the operational attribute; monitoring the data access task queue and the access index feedback in real time, extracting resource load association features from the data access task queue and the access index feedback based on the constructed resource scheduling model, and generating a resource scheduling strategy according to the resource load association features; and optimizing the data knitting path of the logic data carrier based on a resource scheduling strategy to obtain an optimized data knitting path so as to perform data knitting on the multi-source heterogeneous data.

The invention relates to the technical field of automobile fault detection, in particular to an automobile fault detection and diagnosis case library construction method based on rules and a fault tree, which comprises the following steps: performing context enhancement on original fault data by external environment data to obtain environment enhanced fault associated data; performing fault classification on the automobile fault features to obtain fault classification labels; performing rule matching on the fault classification label according to a preset expert rule base to obtain a matching result; performing case correlation analysis according to the fault propagation chain and a preset historical diagnosis case library to obtain case correlation characteristics; constructing a case library according to the structured case model to obtain a diagnosis case library; and sending the diagnosis case library to a cloud platform to execute automobile fault detection and diagnosis. According to the method, the fault classification labels are subjected to rule matching, the known fault modes can be quickly and effectively identified according to expert experience, and corresponding solutions can be provided for known faults.

To provide a method and a system for recommending a question for linkage with a content of an information provider as an answer to a question of a user.SOLUTION: The method for recommending a question according to an embodiment includes the steps of: generating an LLM result based on an LLM (Large Language Models: LLM) to a prompt of a user; and providing the generated question as a response to the prompt of the user along with the generated LLM result.SELECTED DRAWING: Figure 4

To provide a mechanism capable of easily searching for information indicating a file storage location without being restricted by circumstances under which the file has been stored on a network.SOLUTION: A user terminal 101, which can be connected via a network 105 to a large language model server 103 in which a large language model searches for URLs being information indicating file storage locations on the basis of similarity of language vectors of natural language, comprises a CPU 201 that transmits, in natural language, a query sentence for inquiring about a file storage location to the large language model, and receives, from the large language model, a response sentence that conveys a URL being information indicating the file storage location searched by the large language model using a language vector of the natural language of the query sentence.SELECTED DRAWING: Figure 1

Methods, apparatus, and processor-readable storage media for detecting device component defects and generating corresponding recommendations using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining image data of one or more device components and user input pertaining to at least a portion of the device component(s); predicting at least one defect associated with the device component(s) by processing at least a portion of the image data and the user input using a first set of artificial intelligence techniques; determining, using a second set of artificial intelligence techniques, that the at least one predicted defect is repairable; generating recommendation(s) for repairing the defect(s) by processing, using the second set artificial intelligence techniques, the at least a portion of the image data, the at least a portion of the user input, and information pertaining to the defect(s); and performing automated actions based on the recommendation(s).

A method and system for action preset based application programming interface (API) call is disclosed. In some embodiments, the method includes receiving a natural language instruction from a user, processing the natural language instruction to extract a set of parameters through a large language model, comparing the extracted parameters against a preset database to find a matching action preset, formatting an API request by combining the extracted parameters with default values obtained from the matching action preset, and sending the formatted API request to an external API endpoint to execute the API request.

To provide highly reliable responses on the basis of discussion results by multiple pieces of generative AI.SOLUTION: A system according to an embodiment comprises a reception unit, multiple generation units, an evaluation unit, and a provision unit. The reception unit inputs a question. The multiple generation units individually generate responses to the question input by the reception unit. The evaluation unit compares and evaluates the responses generated by the multiple generation units. The provision unit provides the response selected by the evaluation unit.SELECTED DRAWING: Figure 1

A system and method for accuracy-enhanced processing of query data within a multi-digital agent architecture may include receiving unrefined query data including textual data; retrieving historical user dialogue data from a computer database associated with the unrefined query data; transforming the unrefined query data to refined query data based on the retrieved historical user dialogue data; generating at least one digital agent classification inference using the refined query data; routing the refined query data to a digital agent based on the at least one digital agent classification inference; generating, by the digital agent, a digital response to the unrefined query data; and returning the digital response to an interactive graphical user interface.

To enable an input character string to a system for outputting a response in the form of a character string to input of a character string to be the character string in which information subject to concealment is concealed.SOLUTION: The concealment apparatus is provided with concealment means for generating a second character string in which a partial character string detected as a concealment object in a first character string is replaced by another partial character string, and concealment prompt issuing means for inputting the second character string to a device for outputting a response to the second character string.SELECTED DRAWING: Figure 2

Provided is an information processing system and the like that can generate a sentence tailored to a job seeker. 【Solution means】According to one aspect of the present invention, there is provided an information processing system including at least one processor configured to execute the following steps by reading a program. In a reception step, first job seeker information including information regarding the attributes of a job seeker is received. In a question information extraction step, question information corresponding to the first job seeker information is extracted from reference information. The question information includes questions for the job seeker and information regarding answer examples corresponding to the questions. The reference information includes a plurality of question information candidates that are candidates for question information generated in advance based on the accumulated job content. In an acquisition step, an answer from the job seeker to the question information is acquired. In a job content generation step, a sentence regarding the job content of the job seeker is generated based on second job seeker information. The second job seeker information includes the first job seeker information and the answer acquired in the acquisition step. An information processing system is provided.

Provided are an information processing apparatus, a method, and a program that present an answer considering the operation of an organization to a user's question. 【Solution means】In an information processing system, an information processing apparatus 2 includes a reception unit 231 that receives a question from a user, an identification unit 232 that identifies the attributes of the user in the organization, a document acquisition unit 233 that acquires a relevant document, which is a document including content related to the question received by the reception unit, from a document management database, a generation unit 234 that generates a request prompt including a determination request for determining whether the relevant document acquired by the document acquisition unit is permitted to be disclosed to the user based on the attributes of the user and the public permission attributes included in the relevant document acquired by the document acquisition unit, a result acquisition unit 235 that acquires an output result output by a predetermined language model by inputting the request prompt generated by the generation unit into the predetermined language model, and a presentation unit 236 that presents information based on the output result acquired by the result acquisition unit to the user.

The invention relates to the technical field of salicornia europaea spectral feature extraction, and discloses a salicornia europaea lithium stress time sequence spectral feature database construction method which comprises the following steps: culturing salicornia europaea in a greenhouse by utilizing water culture vessels containing different lithium concentrations to obtain a plurality of salicornia europaea water culture vessels containing different lithium concentrations; measuring hyperspectral images of the salicornia europaea in the sampling intervals to obtain hyperspectral images of the salicornia europaea and the reference white board in each sampling interval; extracting a hyperspectral reflectivity image and hyperspectral data of the salicornia europaea in each sampling interval so as to obtain absorption characteristic parameters and red edge positions of each continuum removal spectrum under different set wavelengths, and calculating the hyperspectral reflectivity of the salicornia europaea according to the hyperspectral reflectivity image of the salicornia europaea in each sampling interval. Respectively constructing a time sequence spectrum library and a standard spectrum library of salicornia europaea at different sampling intervals under the stress of different lithium concentrations; according to the method, the spectral feature precision of salicornia europaea is improved, and meanwhile, the spectral database of salicornia europaea is enriched.

To provide an artificial intelligence system capable of obtaining an answer with searched contents on the Web as a request without using a search engine of a browser.SOLUTION: An artificial intelligence system 100 includes a user terminal 110 and servers (120, 130). The user terminal 110 communicates with the server 120, and a browser 111 of the user terminal displays a talk screen 112. When a user inputs request information PT, which is instruction command information, on the talk screen, the user terminal transmits the input request information to the server. The server uses pre-learned artificial intelligence means to generate text data with contents based on contents of a website that has been pre-learned as an answer to the request information, and transmits the generated text data GT obtained by the execution to the user terminal. The user terminal displays the received generated text data on the talk screen.SELECTED DRAWING: Figure 1

A network mediation device (32) in a communication network (10) receives application-layer control messages (24) intercepted in the communication network (10) as part of a lawful interception service. Each of the application-layer control messages (24) received is configurable to include (i) a session identity field (28) indicating an identity of an application-layer control session (26) to which the application-layer control message belongs: and (ii) one or more linking fields (30) that link the identified application-layer control session (26) with another application-layer control session (26). The network mediation device (32) sends. over a handover interface (33) from the network mediation device (32) towards a law enforcement device (16), the application-layer control messages (24) and signaling (34) indicating which application-layer control messages (24) belong to application-layer control sessions (26) that are linked to one another.

To provide a GPT(R) model-based intelligent device interaction method, apparatus, and system.SOLUTION: A method includes causing an intelligent device side to obtain user interaction information by masking initial interaction information, transmit it to a proxy layer together with user preference information, process the user interaction information through a query proxy, and transmit the information to a GPT model. The method further includes causing the model to perform intent recognition and task subdivision based on the processed interaction information, and return task processing information of the processed interaction information, and also causes a response proxy to accept corresponding information, obtain interaction response information based on the user preference information and the task processing information, and transmit it to the intelligent device side. The method further includes causing the intelligent device side to modify the interaction response information based on user privacy data, and respond based on the modified information.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of data and graph conversion, and discloses a data information and graph conversion management system applied to a design drawing, and the system comprises a data collection module which collects design data from a device end, a main system end and a background database, and guarantees the stability and accuracy of data collection through a built-in verification mechanism; after receiving the data of the acquisition module, the data preprocessing module unifies the data in different formats into a system standard format, removes redundant records and corrects logic errors, so that the data structure is unified and the formats are compatible; the unit conversion module receives the preprocessed data, and performs unit conversion on flow and pressure parameters by utilizing a rule base according to a factory standard and an equipment source unit, so that the data units are unified; and after the rule operation module obtains data with unified units, a merging calculation model is called to carry out data classification, traffic sum calculation and traffic load verification.

To integrally analyze a data of a plurality of marketing channels, perform a trend analysis of an automatic specification and a customer behavior of a customer segment, and propose an advertising strategy in order to maximize an ROI, and thus improve an efficiency and an accuracy pf a marketing analysis.SOLUTION: A system contains: means of integrally analyzing a data of a plurality of marketing channels; means of performing a trend analysis of an automatic specification and a customer behavior of a customer segment; and means of proposing an advertising strategy in order to maximize an ROI.SELECTED DRAWING: Figure 1

The invention provides a medical record data extraction script generation method and device, computer equipment and a medium, and relates to the technical field of medical informationization, and the method comprises the steps: extracting information of a plurality of three-party medical record fields in a three-party medical service system from an interface document of a medical record data interface in the three-party medical service system, according to the identification information of each three-party medical record field, determining identification information of a target structured medical record field matched with the three-party medical record field in a target medical service system and target library table information to which the target structured medical record field belongs, and according to a current field mapping relationship between the identification information of the three-party medical record field and the identification information of the target structured medical record field, and the target library table information, generating a target medical record data extraction script for the three-party medical service system. According to the method, automatic generation does not need to be performed by professional medical personnel, the target medical record data extraction efficiency is improved, the labor cost is reduced, and the data extraction accuracy is improved.

To optimize a combination of a plurality of language models to be discussed and their prompts.SOLUTION: The recommended information consultation device 1 for risk assessment includes an answer generation unit 131 that answers a search result obtained by extracting and summarizing specific information based on a plurality of cases, a consultation processing unit 132 that consults the search result answered by the answer generation unit 131 with a predetermined number of language models and a predetermined prompt, and a model optimization unit 133 that evaluates a consultation result by the consultation processing unit 132 and optimizes the number of language models used by the consultation processing unit 132 and a combination of prompts.SELECTED DRAWING: Figure 1

To provide an information processing system and so on which can reduce a work load upon machine learning.SOLUTION: The present invention is directed to an information processing system having at least one processor according to an embodiment thereof. In the information processing system, the processor acquires, in its history acquiring step, acquires a response history indicating an inquiry from a user and a response to the inquiry from a person in charge. In a learning instruction step, the processor gives an artificial intelligence module instructions to carry out machine learning using at least learning data using the inquiry indicated by the acquired response history as an input and the response indicated by the response history as an output.SELECTED DRAWING: Figure 1

Provided are an information processing method, program, and information processing system for obtaining answers from a trained model while reducing the input burden on the user. [Solution] In an information processing system including a server and a user terminal connected to each other so that they can communicate with each other via a network, an information processing method executed by the server includes an information acquisition step S102 for acquiring information stored in a storage unit, input information generation steps S104 to S112 for generating input information to be input to a trained model based on the information acquired in the information acquisition step, and input information output steps S112 to S116 for outputting the input information.

The invention relates to airspace state updating, in particular to a GeoSOT airspace graph data dynamic updating method and a GeoSOT airspace graph data dynamic updating system, multi-source heterogeneous data is accessed in real time, and data differences are eliminated by mapping the data to a GeoSOT-3D grid to unify a space-time reference; dynamic attributes are given to each GeoSOT-3D grid, local updating and version management are supported, and real-time representation and historical tracing of the airspace state are achieved; low-delay updating of a grid state is realized through event triggering and edge calculation, and spatial domain resource allocation is optimized in combination with AI prediction; according to the technical scheme provided by the invention, the defects that real-time representation and historical tracing of the airspace state are difficult to realize and the updating delay of the airspace state is relatively high in the prior art can be effectively overcome.

To provide an information processing system, an information processing apparatus, a program, and an information processing method capable of generating map information that a user needs.SOLUTION: An information processing system executes: an input information receiving process to receive input information input by a user; a program generation process to autonomously generate a program which generates content including geographical information in association with map information including a map and geographical objects to be displayed on the map, based on the input information received by the input information receiving process; and a content generation process to generate content based on the program generated by the program generation process.SELECTED DRAWING: Figure 1

The invention discloses a multi-source big data analysis cloud platform and a data analysis method thereof, and relates to the technical field of big data analysis. The method comprises the steps of receiving multi-source data to form a multi-source big database, obtaining a to-be-analyzed application field, extracting theme elements, capturing corresponding application field data from the multi-source big database and classifying the application field data, constructing an application field classification database, determining a multi-source data fusion coefficient influencing the application field according to the theme elements, and analyzing the multi-source data fusion coefficient. And performing multi-source data classification feature extraction and feature fusion on the application field classification database to generate multi-source data fusion features, and inputting the multi-source data fusion features into a pre-trained application field data analysis model to obtain an analysis result. According to the method, mass data of different formats and structures from different service systems can be gathered, multi-source data of the required application field can be quickly captured from multi-source big data, the multi-source data is integrated and analyzed, potential relations which are difficult to perceive by a traditional analysis method are found, and the analysis accuracy and reliability are improved.