287 results about "Dialog box" patented technology

Generative artificial intelligence-based techniques are disclosed herein to conduct conversations of various types with multiple Large Language Model Services at once. In one aspect, a method is provided that includes identifying large language model services that qualify to take part in the conversation based, at least in part, on a conversation type and profile information provided by a user, user-selected terms selected by the user specific to the conversation, or both, rendering a conversation screen in a graphical user interface, receiving a prompt input into a dialog box of the conversation screen, communicating the prompt input to each of the large language model services, receiving responses from the large language model services based on the prompt input, and rendering the responses in a dialog box of the conversation screen with an indication of which of the large language model services provided each of the responses.

Systems and methods are provided for facilitating management of interactions and training for AI (artificial intelligence) agents. Systems generate and display interfaces for training AI agents and for receiving user instructions. The systems parse user instructions to identify tasks to be performed by the AI agents. The systems cause the tasks to be split into subtasks to be performed by the AI agent. The systems also display a dialog frame that presents the user instructions along with AI agent responses that identify the subtasks. The systems also display a graph that visually identifies a processing flow of the subtasks and that dynamically updates the processing flow to reflect a status of progress for the AI agent performing the subtasks.

A computer-implemented method comprises receiving a first chat message at a server computer from a chat interface of a reservation application executing on a mobile computing device; determining, by the server computer, from the first chat message, whether the first chat message specifies an intent for a recommendation of a travel item by programmatically classifying the first chat message to output the intent; in response to determining that the first chat message specifies the intent, generating a first plurality of travel items and a second chat message comprising one or more descriptors of the intent, outputting the first plurality of travel items and the second chat message in the chat interface, and including, in each travel item of the first plurality of travel items, a graphical user interface (GUI) widget that is programmed when selected to initiate a reservation dialog based on the travel item; in response to determining that the first chat message does not specify the intent, outputting in the chat interface a third chat message comprising a prompt for contextual information, receiving, in the chat interface, a fourth chat message specifying the contextual information, executing an inference stage of one or more trained machine-learning models over the contextual information to output one or more named entities, deriving the intent from the first chat message and the one or more named entities, generating, using the server computer, the intent, and the one or more named entities, a second plurality of travel items and a fifth chat message comprising one or more descriptors of the intent, outputting in the chat interface the second plurality of travel items and the fifth chat message, and including, in each of the second travel items, a second GUI widget that is programmed when selected to initiate the reservation dialog based on one or more of the second travel items.

The invention discloses a dynamic interactive prompt sequence control method for chemical production, and relates to the field of flow industrial processes. Based on a state transition rule of a Phase functional block, linear execution and conditional jump of sequential control steps in a polymerization reaction temperature step control scene are realized through SFC programming, interactive processing and SFC logic steps are bound, and an interactive dialog box is triggered in a unified manner through an operation guide window. And the main program and the subprogram realize abnormal state linkage through an FAILIDX mark, and automatically detect a fault clearing state when the abnormity is recovered. The interactive processing dynamically generates an option list, supports multi-language switching, verifies input values in real time, and provides historical suggested values. The method aims at solving the problems that in a traditional sequence control system, the coupling degree of interaction logic and a core control program is high, operation interfaces are not uniform, and the misoperation risk is high, transplanting of cross-control systems and cross-process packages is supported, and the secondary development cost is remarkably reduced.

Embodiments of the disclosed technologies include generating a search prompt based on an input portion of an online dialog involving a user of a computing device. The search prompt includes a dialog summarization instruction configured to instruct a generative artificial intelligence model to generate and output a dialog summary. The search prompt is sent to a first generative model. In response to the search prompt, a search query is generated and output by the first generative model based on the dialog summary. The search query is sent to a search system. Search result data is determined based on an execution of the search query by the search system. At least some of the search result data is included in an output portion of the online dialog. The output portion is configured to be displayed at the computing device in response to the input portion of the online dialog.

The invention belongs to the technical field of large language models, and discloses a time sequence card generation method and device based on a large language model, and the method comprises the steps: receiving a card creation instruction, and obtaining a card data type in the card creation instruction; extracting target text data in a dialog box of the large language model based on the card data type; converting the target text data into target card data corresponding to the card data type; generating a card title corresponding to the target card data according to the target text data; combining the target card data and the corresponding card titles to obtain time sequence cards; and putting the time sequence card into a tool window adjacent to the dialog box for displaying. According to the method, the manual operation of the user can be reduced, and the co-creation work efficiency and convenience of the large language model and the user are improved.

A computer system is disclosed that provides purpose-based control of user actions and access to electronic data assets. For example, the computer system may perform operations including: receiving, from a user, a request to perform an action; determining any checkpoint config objects associated with the action; displaying checkpoint dialog based on checkpoint config object; determining whether criteria associated with the checkpoint object are satisfied; and in response to determining that the criteria associated with the checkpoint object are satisfied: generating a checkpoint record object; and proceeding to perform the action.

The invention provides a continuous fiber reinforced composite material mould pressing numerical simulation method and system, and the method comprises the steps: S1, building a mould pressing simulation parameterized model based on numerical simulation secondary development by using a programming script; s2, based on the established model, creating an interactive plug-in interface by using a dialog box constructor; s3, the simulation parameters are input into the plug-in to run mould pressing simulation, and a mould pressing simulation result is obtained; s4, establishing a performance analysis model and a warping analysis model according to a mould pressing simulation result and an asymmetrical grid mapping method; and S5, setting corresponding boundary conditions according to actual working conditions, and completing structural performance analysis and warping analysis by using the performance analysis model and the warping analysis model. According to the method, the formed fiber orientation and wrinkle information is mapped into the performance analysis model by using the asymmetrical grid mapping, a set of complete analysis process from manufacturing to response is constructed, and the prediction precision is remarkably improved.

The invention relates to the technical field of civil engineering teaching, and discloses a three-dimensional modeling and calculation document automatic generation method and system based on artificial intelligence assistance, a terminal and a storage medium, and the method comprises the steps: obtaining a natural language text input in a preset dialog box, and analyzing the natural language text through a natural language processing model, identifying and extracting component parameters; automatically generating a corresponding three-dimensional model by utilizing a three-dimensional modeling tool based on the component parameters; generating a corresponding calculation document based on the three-dimensional model, and typesetting the calculation document according to a preset typesetting rule; and outputting and displaying the three-dimensional model and the typeset calculation document. According to the method, natural language processing and three-dimensional modeling technologies are fused, three-dimensional modeling and calculation document automatic generation are achieved, the structural design efficiency and accuracy of the three-dimensional model and the calculation document are improved, arrangement, connection details and the construction process of the three-dimensional model are intelligently displayed, and the efficiency and expressive force of civil engineering teaching are improved.

The embodiment of the invention provides a service promotion method and device based on a large model, in the method, a target terminal triggers a consultation component of a target service based on a target merchant to send a consultation request to a third-party payment platform, and the third-party payment platform sends the consultation request to the third-party payment platform according to the consultation request and merchant information in the consultation request. Determining an actual participation state of the target merchant in the target service; further, according to the actual participation state, corresponding initial inquiry information is determined and returned to the target terminal, and after the target merchant inputs reply information in a consultation dialog box based on the initial inquiry information, the target terminal sends the reply information to the third-party payment platform; further, the third-party payment platform determines a target intention corresponding to the reply information through the first large model according to the reply information; and further, according to the corresponding target intention, guide information is generated through a second big model and returned to the target terminal, and the target terminal outputs the guide information in a consultation dialog box in a text-to-voice mode to guide the target merchant to participate in the target service.

The invention discloses a train working diagram station track adjustment method and system fused with multi-dimensional inspection. The method comprises the steps that train operation adjustment result data containing station track change information are received; generating an adjustment result dialog box which can be switched between a simplified version and a detailed version according to the adjustment result data; in the adjustment result dialog box, in response to a screening condition input by a user, screening the adjustment result data, and carrying out statistics on the screened data; displaying station track change entries in the adjustment result dialog box, and highlighting the unconfirmed station track change entries with a first visual identifier; in response to an interaction operation of a user on the station track change item, providing a station track adjustment option; and based on the station track adjustment option selected by the user, executing a corresponding station track adjustment operation or multi-dimensional feasibility check, and updating a station track adjustment result. The railway transportation quality can be improved, and the working intensity of dispatchers is relieved.

The invention discloses a structure optimization method for prolonging the fatigue life of a crankshaft of a marine diesel engine. The structure optimization method comprises the following steps: developing a single-throw crankshaft modeling analysis plug-in; design parameters are selected, a three-dimensional geometric model of the single-throw crankshaft is dynamically constructed, and finite element analysis is carried out; developing a graphical interface for the dialog box script; seamless connection between the plug-in and the ABAQUS software is realized through development of the registration script; adopting optimal Latin hypercube sampling in a defined range to obtain a pre-calculation sample, developing a batch processing file and a Python script, and using an instruction to drive a single-throw crankshaft modeling analysis plug-in; a Pareto graph is adopted to analyze parameter sensitivity, a pre-calculation sample is screened, a high-precision Kriging proxy model is built, and then the optimal maximum bending stress value of the single-throw crankshaft and the corresponding optimal structure size are searched in combination with a particle swarm algorithm. According to the invention, the problem of low efficiency caused by frequent man-machine interaction when large samples are processed in the prior art is solved.

A medical imaging system (1) includes an electronic controller (10) including a display (24), the electronic controller configured to implement an imaging workflow graphical user interface (GUI) (26) enabling an associated user to set up an imaging workflow, execute the imaging workflow to acquire imaging data of the associated imaging subject using a medical imaging device (2), and display at least one medical image of the associated imaging subject generated by processing of the imaging data acquired by the execution of the imaging workflow; a problem reporting GUI dialog (28) hosted on the electronic controller and integrated with the workflow UI, wherein the problem reporting GUI is configured to receive a problem report indicating a problem with the medical imaging device; and a problem remediation tool (30) configured to perform at least one remedial action in response to receiving the problem report via the problem reporting GUI dialog.

The present disclosure describes techniques for implementing dialog-based image editing. Text indicating a task of editing an image is received. A list of objects and attributes associated with each of the objects is generated based on the text and the image. The objects are comprised in the image. Operations to be performed on each of the objects are determined. An order of performing the operations on an object-by-object basis are determined. A plan of implementing the task is generated based on the text and the order of performing the operations. The plan comprises information indicating a set of algorithm tools selected for the task. Executable code is generated based at least in part on the plan. The code is executed to generate an edited image.

The invention discloses an intelligent dialogue project management method and computer equipment, and relates to the field of artificial intelligence, and the method comprises the steps: obtaining a user question; performing semantic analysis on the user question to obtain a user demand; matching the user demand with a question set in a preset question and answer knowledge base to obtain a target question; determining a corresponding target answer in a preset question and answer knowledge base according to the target question; returning the target answer to the user and obtaining user feedback; in response to user confirmation in the user feedback to trigger an automatic process operation in the project system, determining a target request operation for triggering the project system according to the target problem; determining a corresponding target interface parameter in a preset program interface request library according to the target request operation; and returning the target operation result to the user. By implementing the method, the question and answer dialog box can be associated with the project system, a link from dialogue to execution is opened, data sharing and interaction are realized, and the efficiency is improved.

The invention discloses an intelligent question and answer method for an educational scene, and belongs to the technical field of data processing, and the method comprises the steps: collecting a multi-source data set, extracting a core ontology based on the multi-source data set, and filling the core ontology into a knowledge graph frame to generate a knowledge graph; and constructing a subject dialogue framework based on the knowledge graph, and training a question and answer model by using the subject dialogue framework to generate a trained question and answer model. According to the method, the subject knowledge graph is constructed, the question and answer model is trained on the basis of the subject knowledge graph, structured knowledge and natural language processing capacity are deeply fused, and accuracy and reliability of question and answer content are ensured. Through a semantic enhancement strategy and a heuristic classification method, the system can accurately understand a complex query intention of a user, retrieve highly related structured information from a knowledge graph, generate logical strict and interpretable answers, and improve user experience. The problems of factual errors and information omission easily occurring when a traditional method depends on a single model are effectively solved.

The invention provides a robot operation task control system and a robot, the robot operation task control system comprises a processing unit, a display unit and a receiving unit, the display unit displays a robot task setting interface, and the task setting interface comprises an AI creation service function control; the receiving unit receives a trigger instruction of a user for the AI creation service function control, pops up an intelligent chat program Chatbox window on the upper layer of the current task setting interface, receives text information input by the user and displays the text information in a text dialog box; and the processing unit translates the text information into codes and tests the codes, and generates a robot operation task control flow diagram for controlling the robot to execute corresponding tasks. Therefore, the method can be suitable for personalized robot operation control scenes, code compiling does not need to be carried out by professional technicians, codes can be automatically generated by inputting natural language texts from a user side, an interface is friendly and easy to operate, the code development period is greatly shortened, and compiling efficiency is high.

The invention discloses a method and device for generating a first-screen video background based on page elements, and the method comprises the steps: obtaining a multi-mode interface feature of a first screen of a target website, and receiving a natural language instruction inputted by a user through an interaction dialog box; analyzing the visual intention, style preference and dynamic demand in the natural language instruction to generate a structured visual control description; extracting layout, color and semantic entities from the multi-modal interface features through a cross-modal attention model to form and generate condition vectors; and inputting the generated condition vector into a condition decoupling video diffusion model, decoupling the generated condition vector into a control subspace of content, style and motion, and synthesizing a video background sequence according to the control subspace and the structured visual control description so as to synthesize a dynamic background in the first screen of the target website. According to the method, the dynamic video background is generated under the condition of the webpage interface and the guidance of the user language, so that the defect of rough control of a general text video model is avoided.

The invention provides a parameterized three-dimensional modeling method and system based on natural language and database driving, and belongs to the technical field of civil engineering modeling. According to the method, a performance function library (comprising a structure creation unit, a section operation unit and a parameter management unit) is constructed, a natural language dialog box is used for receiving a user instruction, the instruction is analyzed into modeling parameters by means of a natural language processing technology, and corresponding performance functions in the performance function library are automatically called. And then, according to a performance function calling result, generating information such as node coordinates, a geometric topological relation and section attributes, storing the information into a database, and finally, generating a three-dimensional model based on the database. According to the parameterized three-dimensional modeling method and system based on the natural language and database driving, professional software operation is not needed, the learning and modification cost is remarkably reduced, manual input errors are reduced, the modeling efficiency and the team cooperation ability are improved, and the parameterized three-dimensional modeling method and system can be widely applied to building, bridge, tunnel and steel structure engineering.

1. The name of the design product: patient list intelligent management graphical user interface for electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The electronic equipment is of conventional design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: for interaction with patient list data through dialog box questioning; design 1-3 front view asks questions about patient list related information on the right side of the interface through voice or input text, and gives corresponding replies according to system intelligent analysis results.

The application provides a service request processing method, device, system and storage medium. The application development efficiency is improved.

1. Name of the design product: Graphical user interface with tread detection for electronic devices. 2. Use of the design product: For an electronic device. 3. Design key points of the design product: Lies in the interface content of the graphical user interface. 4. Picture or photo that best shows the design key points: Front view. 5. The electronic device of this design product is a conventional design, and other views are omitted. 6. Use of the graphical user interface: The interface is used for automobile tread detection. 7. Description of the change states of the graphical user interface: The front view is the main interface for opening the detection. The interface change state diagram 1 is the interface displayed after starting measurement in the front view; The interface change state diagram 2 is the interface displayed after clicking "Expand" in the interface change state diagram 1; The interface change state diagram 3 is the interface displayed after clicking the "Tire Condition" dialog box in the interface change state diagram 2; The interface change state diagram 4 is the interface displayed after selecting the corresponding condition in the interface change state diagram 3 and clicking "Confirm"; The interface state change diagram 5 is the interface displayed after clicking "Scan" under "Production Date / Warranty Period" in the interface change state diagram 4; The interface change state diagram 6 is the interface displayed after clicking the "Brand" dialog box in the interface change state diagram 5.

The present invention relates to the technical field related to digital data processing, specifically including an artificial intelligence-based intelligent processing method and device for ancient book information, comprising: scanning ancient books, constructing a knowledge graph and dividing a domain database, and training a vertical processing model; introducing multi-form historical carriers to form a multimodal perception set, establishing a multi-information network, and embedding a processing model; establishing a dialog box to achieve multi-round interaction, combining threshold optimization output to solve the limitations of digitization and fragmentation faced in ancient book information processing, and the technical problem that ancient book information cannot be effectively integrated and utilized due to the diversity and complexity of ancient book documents, thereby realizing the construction of a knowledge graph and dividing a domain database to form a knowledge system with a hierarchical structure and logical association, and through training a vertical processing model, conducting in-depth learning and optimization for specific needs in the ancient book field, and establishing a dialog box, and providing multi-round interactive feedback with users to assist users in quickly and deeply exploring the technical effects of ancient books.

The embodiment of the invention provides a dialogue data set generation method and system and a model training method and system of a large model. According to the method, a generation model obtains an image data set; for each dialogue interface in the image data set, dialogue box detection is carried out on the dialogue interface through the detection sub-model, a dialogue box list is obtained, and the dialogue box list comprises a plurality of dialogue boxes and a category label corresponding to each dialogue box; identifying text information of each dialog box in the dialog box list through a character identification sub-model to obtain a text list; the text list comprises text information corresponding to each dialog box in the plurality of dialog boxes; through a category discrimination sub-model, based on the text list and the category label corresponding to each dialog box, and in combination with the target query corresponding to each dialog interface, generating answer information for the target query; and pairing each target query with the corresponding answer information, and constructing a target data set comprising a plurality of question and answer pairs.

The invention discloses a camera quick calling and visualization method based on natural language understanding, and relates to the technical field of video monitoring and artificial intelligence crossing. Comprising the steps that S1, a full-amount camera database is constructed, S2, a camera space retrieval interface is provided, and S3, a map visualization front end is constructed; s4, providing an address-coordinate conversion service; s5, local privatization deployment: deploying a camera space retrieval interface, a front-end static resource and a large language model mirror image in an intranet GPU server; s6, constructing a large model knowledge newly establishing a knowledge base table Knowledgeprompt in the model mirror image for writing data, and constructing the large model knowledge base, and S7, receiving a query demand of a user for inputting a natural language in a dialog box; s8, performing semantic understanding, and calling an interface to return data; step S9, automatically dotting the map; and S10, playing the video stream as required.

1. Name of the product in this design: Dialog box body of a home decoration graphical user interface for electronic devices. 2. Intended use of this design: for use in electronic devices. 3. The key design features of this product are the graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. For electronic devices, which are conventional devices, the rear view, left view, right view, top view, and bottom view are omitted. 6. Purpose of the graphical user interface: The home decoration dialog graphical user interface is used for human-computer interaction, and the dialog box body is used for human-computer dialogue. 7. Human-computer interaction methods of graphical user interface: Human-computer interaction can be carried out through clicking, input, etc., to realize human-computer questioning and answering. 8. Description of the changing states of the graphical user interface: The main view displays the home decoration dialog graphical user interface. Questions can be entered through the input box at the bottom of the dialog box, and the questions and answers are displayed in the chat box in the middle of the dialog box. During the machine's response after a question is entered, the input box displays the current response progress, as shown in the changing state diagram 1. You can click on the status bar to view the changing state diagram 2, which displays the progress list in a pop-up window. 9. Other situations requiring explanation: This design is a partial design, wherein the pink-coated part is the part for which protection is not sought, and the other parts are the parts for which protection is sought.

Embodiments included herein are directed towards a method for use in an electronic design. The embodiments may include receiving, at a graphical user interface, a command associated with a currently displayed electronic design session and determining, using a processor, that a modal dialog from a non-currently displayed electronic design session is triggered by the command. Embodiments may further include causing a display at the graphical user interface of a form associated with the modal dialog that requires user action.

1. Name of the product in this design: Mass production software test user interface for chip testing machine for electronic devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are the graphical user interface content of the display screen panel. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. As is customary, the rear view, left view, right view, top view, and bottom view of each design are omitted. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: Used for displaying information and facilitating human-computer interaction during the mass production software testing process of chip testing machines. 8. Human-computer interaction method of graphical user interface: In the main view of Design 1, click "System" in the menu bar to open its submenu and enter Design 1 Change State Diagram 1; in Design 1 Change State Diagram 1, click the "System Setting" submenu item to enter Design 1 Change State Diagram 2, and a dialog box for software test settings will pop up; in Design 1 Change State Diagram 2, check the "Save data in parallel" checkbox in the dialog box to enter Design 1 Change State Diagram 3; In the main view of Design 2, click "Station" in the menu bar to open its submenu and enter Design 2 Change State Diagram 1; in Design 2 Change State Diagram 1, click the "BinLightA" submenu item to enter Design 2 Change State Diagram 2; in Design 2 Change State Diagram 2, click the "Load" button in the toolbar to enter Design 2 Change State Diagram 3, and an open document dialog box will pop up; in the dialog box of Design 2 Change State Diagram 3, select a file with the ".pts" extension and click the "Open" button to enter Design 2 Change State Diagram 4; in Design 2 Change State Diagram 4, uncheck the "show test" option in the upper right corner. Check the "data" checkbox to enter Design 2 Change State Diagram 5; in Design 2 Change State Diagram 5, click the "Auto(D)" button in the toolbar to enter Design 2 Change State Diagram 6 and enter the linkage test state; after the linkage test is completed, the interface will automatically enter Design 2 Change State Diagram 7 and display the corresponding test station's Bin information.

The present invention relates to a technique of automatically scrolling and capturing a dialog window executed on an Android-based portable terminal. The automatically scrolling and capturing method according to one embodiment may comprise the steps of: receiving an input of a screen capture command; acquiring, on the basis of the screen capture command that was input, XML data for the current screen of the portable terminal by using a screen dump function of Android; acquiring at least one piece of XML data while scrolling the screen by a designated pixel amount from the position where the XML data for the current screen was acquired; and generating a screen capture image by integrating the acquired pieces of XML data.

Apparatus, methods and systems for contextual prediction processing is provided. Methods may include receiving a conversation from an entity. The conversation may include current utterance, previous utterances and details. Methods may include using an action-topic ontology to build, using data retrieved from the current utterance, a conversation frame that corresponds to the current utterance. Methods may include merging the conversation frame with data, retrieved from the previous utterances and the details, to generate a target conversation frame. Methods may include validating the target conversation frame to prevent looping over historic data in the event that the current utterance fails to add relevant information. Methods may include generating an enhanced contextual utterance based on algorithms and the target conversation frame. The enhanced contextual utterance may be used to understand the current utterance in a context of the conversation. Methods may include returning the enhanced contextual utterance to the entity.