4340results about "Software reuse" patented technology

An example operation may include one or more of ingesting data from one or more websites via one or more application programming interfaces (APIs) and storing the data within a data store of a host platform, generating one or more prompts and displaying the one or more prompts on a user interface of a user profile page within a software application hosted by the host platform, receiving one or more responses to the one or more prompts, generating a design of a structure based on execution of an artificial intelligence (AI) model on the data from the one or more websites, the one or more prompts, and the one or more responses, and displaying the design of the structure via the user interface of the user profile page of the software application.

The invention discloses a multi-modal visual arrangement recommendation method, belongs to the technical field of artificial intelligence and data visualization crossing, and realizes visual arrangement recommendation based on multi-modal input analysis, a dynamic mixed recommendation model and an intelligent optimization algorithm. Comprising the following steps: multi-modal intention analysis: realizing intelligent analysis of multi-modal input through combined use of a base model and a fine tuning model, realizing high-precision intention classification in combination with a pre-training language model and a domain adaptation fine tuning technology, and triggering dynamic prompt word recommendation; performing intelligent layout generation: performing global optimization of component space allocation by adopting a genetic algorithm, performing business rule adaptation by combining a constraint solver, and modeling an interaction relationship between components by utilizing a graph neural network; and dynamic mixed recommendation: constructing a three-level recommendation architecture including collaborative filtering, content matching and reinforcement learning. According to the method, a closed-loop recommendation process of user intention-intelligent recommendation-feedback optimization is realized, and the intelligent level of visual arrangement and the user experience are remarkably improved.

The invention discloses a low-code platform based on a component library and a form engine, and relates to the field of data processing. The platform comprises a design system, an application system and a service system. The design system is provided with a form designer and a template manager, the form designer can configure a form component to generate a description file, and the template manager supports separate storage of a page template; the application system comprises a form analysis engine, a UI rendering engine and a reusable resource management component, the analysis engine analyzes configuration generation logic, the rendering engine loads a resource rendering page, and the reusable resource management component stores resources and generates configuration; the service system comprises a metadata analysis engine and an SQL assembler, the metadata analysis engine analyzes business rules to generate SQL and filtering strategies, and the SQL assembler generates operation statements adaptive to multiple data sources. Through the modular architecture design and the dynamic analysis mechanism, the problem that a low-code platform is insufficient in flexibility and usability is solved.

The invention discloses a method and system for dynamically calling a Java statistical analysis interface based on LLM and MCP protocols, belongs to the technical field of data processing and analysis technology, artificial intelligence technology and application program interface (API) integration, and aims to solve the technical problem of how to improve the response speed and flexibility of statistical analysis requirements. In order to reduce the development and maintenance cost of a statistical analysis function, the adopted technical scheme is as follows: a Java annotation mechanism is utilized to mark and describe an existing Java statistical analysis system, a Java method of which the annotation is defined is obtained, and the Java method of which the annotation is defined can be automatically identified by an MCP server and registered as an MCP tool; the MCP server follows an MCP protocol and communicates with the LLM serving as an MCP client, and the LLM dynamically discovers available MCP tools through the MCP protocol; after natural language query of a user is understood through LLM, one or more appropriate MCP tools are intelligently selected, calling parameters are generated, and an MCP server is requested to execute through an MCP protocol.

A method for creating and deploying plugins for use with one or more web-hosted large language model applications includes: displaying a user interface comprising a code template for creation of a plugin, wherein the code template comprises a context template, a native function template, and a semantic prompt template; receiving modifications to the code template via the user interface to form a modified code template, the modified code template comprising: custom context based on the context template; custom native code comprising one or more computer executable functions based on the native function template; and a custom prompt configured to prompt a large language model based on the semantic prompt template; generating a plugin based on the modified code template; and storing the plugin within a database of a plugin registry.

The invention relates to the technical field of data processing, in particular to a modular task management system based on dynamic process configuration, which comprises a dynamic process configuration module, a task state circulation engine, a visual interaction interface module, a historical track tracing module and a modular expansion interface. The dynamic process configuration module dynamically binds enterprise configuration data with regional process original data through a process template ID to generate an enterprise exclusive process topological structure comprising a regional identifier, a node association relationship and a process classification label; and the task state circulation engine updates the task state data based on an event-driven and atomized transaction lock mechanism, and synchronizes the task state data to the change management general table. According to the method, flexible configuration of process logic, visual display of task states and cross-enterprise rapid adaptation are realized, and system expansibility and operation efficiency are improved.

The invention provides a low-code dynamic configuration method based on a natural language, and relates to the technical field of natural language processing, and the method comprises the steps: carrying out semantic analysis on a natural language description input by a user through an intelligent agent, extracting a page type, a field attribute, a verification rule and interaction logic, and generating structured configuration data; dynamically generating JSON metadata for describing page layout, field components, verification rules and interaction logic according to a preset template on the basis of the structured configuration data; according to page function requirements, interface metadata matched with the JSON metadata is generated, and the interface metadata comprises a request address, a parameter list and corresponding SQL (Structured Query Language) operation logic; and analyzing the JSON metadata by utilizing a low-code configuration rendering engine, dynamically generating an interactive management function page, and modifying the JSON metadata in real time and re-rendering the page through natural language interaction between a user and an intelligent agent.

A platform for dynamically generating application experiences. The platform comprises a design management system, an agent orchestration system, an analytics system, a model management system, a user management system, and databases for storing design elements and templates. The design management system provides a portal for application owners / designers to create UX / UI designs, allowing them to select design elements from a set of categories or templates. The platform gathers existing websites / applications to identify common design patterns, stored in a design catalogue database, and suggests historical interfaces for design exploration. It enables the generation of templated applications that integrate with legacy systems. The agent orchestration system parses user specifications, selects generative AI systems, and generates UX / UI content based on the specifications. The analytics system collects and analyzes data to provide insights for improving UX / UI design and optimizing website performance. The model management system trains and maintains generative AI models used for content generation.

The invention provides a multi-agent-based low-code component development method and system and electronic equipment, and the method comprises the steps: obtaining a user demand, and converting the user demand into an initial business model through a first agent; obtaining a prefabricated component library of the low-code platform, and automatically generating a demand component by using a second agent according to the initial business model and the prefabricated component library; automatically adapting and integrating a cross-platform data source by using a preset cross-domain data integration mechanism, and performing intelligent scheduling on the automatically generated demand component through a third agent; and establishing an automatic service arrangement mechanism based on the micro-service architecture, automatically identifying each service dependency relationship, and dynamically adjusting the execution sequence and resource allocation of each demand component according to the service dependency relationship. Through modular component design, the low-code platform has high flexibility and expandability, efficient collaboration of the components in the complex industry is guaranteed, and resource allocation and use efficiency is optimized.

A system and method including receiving a prompt specifying at least one task type; determining a system prompt based on the received prompt, the system prompt including artificial intelligence (AI) system configuration details corresponding to the at least one task type; pre-processing the system prompt to generate a pre-processed prompt including code referenced in the system prompt; transmitting, as an input prompt, the pre-processed prompt to an AI system; receiving, in response to the AI system executing the pre-processed prompt, a result from the AI system; and storing a record of the result from the AI system in a data repository.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a page generation method and device based on a natural language, equipment and a medium, and the method comprises the steps: obtaining a demand description in a natural language form, analyzing the demand description based on a preset intention recognition material, and generating a user intention; retrieving in the page feature vector library according to user intention to obtain a page template, performing graphical user interface rendering on the page template to generate a visual component set, injecting associated data into a target component in the visual component set to generate a target page, publishing the target page or publishing and collecting use effect data after modification, and displaying the use effect data. And updating the page feature vector library by using the use effect data. By combining natural language analysis, intention recognition, vector retrieval, graphical rendering and effect data updating, automation from demand input to page generation is realized, manual intervention and development cycle are greatly reduced, and page generation efficiency and quality are improved.

An application mapping engine may determine dependencies in existing executable application by monitoring and analyzing process flow and data flow of the application during runtime execution. The application mapping engine may generate dependency visualization maps that illustrate dependency interaction information.

The invention provides a method for generating a front-end prototype based on an artificial intelligence technology. The method comprises the steps of data acquisition, knowledge base construction, model training and optimization, demand analysis and prototype generation. The method comprises the following steps: constructing a knowledge base supporting multi-dimensional query by collecting and verifying historical data; in combination with the content of the knowledge base, a large language model is used for performing field specialized fine tuning, and low-rank matrix optimization and comparative learning are adopted to improve the task similarity detection precision; semantic analysis and structured conversion are carried out on the natural language requirements of the user; a front-end prototype is automatically generated based on structured data, and user interaction feedback and dynamic optimization are supported. According to the method, efficient data processing, intelligent model optimization and flexible prototype design are realized, the intelligent level and development efficiency of prototype generation are improved, and powerful support is provided for front-end design under rapid iteration and complex requirements.

A system and method for automatically generating a change history of source code using a generative artificial intelligence (“AI”) system. In examples, a generative AI system receives a request inquiring about one or more changes made to software code of a software service or application. In response to receiving the request, the generative AI system navigates one or more information sources to collect code change context relevant to history of the code change(s). The generative AI system generates an instruction corresponding to the received request, where the instruction and the code change context are provided as input to a language model (LM) (e.g., a generative AI model). Based on the inquiry of the request, the LM processes the input, generates, and provides a corresponding output. The generative AI system then uses the output to generates and provide an explanation about the code change(s) to a requestor of the request.

Apparatuses, systems, and techniques to perform one or more operations using a tensor. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to perform one or more operations using one or more tensors based on at least one or more indications of the plurality of operations by the API, one or more compiler options indicated by the API, and / or one of one or more indications of an amount of storage to be used to perform the one or more operations.

The invention discloses a mobile application development system based on visual arrangement, one-time code writing is carried out based on a cross-platform development framework of an ArkUI-X framework, a mobile application running on an operating system platform is constructed, and an application interface visual arrangement system provides multiple granularity modules from templates, components to elements. A user is supported to freely arrange an application interface in a mode of dragging and configuring components, the dynamic UI rendering and hot updating engine adjusts the application interface in real time and performs dynamic updating after issuing an application, and an automatic packaging engine of a multi-operating system platform is supported to automatically generate an adaptive application installation package according to characteristics and dependencies of different platforms. An efficient and flexible cross-platform development solution is provided for developers through a mobile application development platform composed of a low-code visual interface arrangement system, an automatic packaging system, dynamic UI rendering and a hot update engine.

The embodiment of the invention discloses a dynamic template generation method and device based on business requirements and a medium, and relates to the technical field of low code, and the method comprises the steps: obtaining a business requirement description text input by a user, analyzing the business requirement description text through a natural language processing technology, determining template configuration information corresponding to the business requirements, and generating a dynamic template according to the template configuration information; comprising plug-in identification, module identification and extension point logic; loading in a pre-constructed storage library through the plug-in identifier and the module identifier to obtain a demand plug-in and a demand module corresponding to the business demand; analyzing the extension point logic to determine an insertion position corresponding to the extension point logic; and dynamically combining the demand plug-in, the demand module and the extension point logic through a preset template rendering engine to generate a dynamic business code template corresponding to the business demand. The demand plug-in, the demand module and the extension point logic can be loaded and combined according to the user demand, the template is flexibly combined and adjusted, and the customized business demand is met.

The embodiment of the invention provides an RPA process generation method and device based on a large model, a medium and a product. The method comprises the following steps: receiving business demand information in a natural language form input by a user; based on a preset large model and a business capability knowledge base, analyzing the business demand information, and determining a business operation sequence matched with the business scene; based on a robot process automation (RPA) component knowledge base and a preset multi-modal visual understanding model, analyzing the service operation sequence into a single-step executable atomic operation sequence; and according to the atomic operation sequence and the large model, generating an executable code of the target RPA component. According to the scheme, a user is supported to input business process requirements in a natural language form, the requirements are automatically converted into the business process operation sequence based on a large model, and the corresponding RPA code is generated and executed, so that the understanding cost of the user is greatly reduced, the execution efficiency of the business process is improved, and the labor cost is reduced.

For an improved management of an app, a computer-implemented method is provided. The method includes: providing an app development user interface (UI) of an app development platform to a user for developing the app; providing several UI parameters characterizing several properties of an app UI of the app; determining at least one sample app UI based on the provided UI parameters; displaying the respective sample app UI to the user via the app development UI; receiving user input indicative of an amendment to at least one of the properties of the sample app UI via the app development UI; determining amended UI parameters using the received user input; determining at least one updated sample app UI using the respective, amended UI parameter; and developing the app through the app development UI by using the updated sample app UI.

A method and an apparatus for generating an interaction component of a client UI, a terminal, and a medium, relating to the technical field of IT and software. A UI effect picture and requirement description information are acquired, feature extraction and feature linguistic conversion are performed on the UI effect picture by means of a preset multi-modal model, attribute text information of the UI effect picture is obtained and same is converted into an attribute vectorized feature, and then, by using a pre-constructed UI component knowledge base, attribute vectorized data obtained from the UI effect picture is used as retrieved keyword information for performing similarity matching with UI component objects in the UI component knowledge base, thereby finding a similar target UI component object. The attribute information automatically extracted on the basis of the inputted UI effect picture is used as a keyword, solving the problem of inaccurate searching due to existing reuse code keyword summaries being ununified, and the accuracy of reuse code querying and the stability of a querying effect are improved.

Disclosed herein is a system and method for generating computer code for a plurality of components of a software development project. An artificial intelligence code generator can generate computer code in response to a natural language text input describing a component of the software development project. A first database can store natural language text describing components of the software development project. A second database can store computer code generated at least partially by the artificial intelligence code generator and defining components of the software development project and corresponding to the natural language text stored in the first database. Using a pre-trained language model, the system can generate a natural language summary text based on the code intent of the first component, the identified characteristics of the objects, and the natural language text retrieved from the first database.

Techniques are described herein that are capable of triggering a security action based on an AI-generated recommendation of a code package. An AI model is caused to recommend an identified code package to resolve a coding problem by providing an AI prompt to the AI model. The AI prompt requests identification of a code package that is written in a programming language and that comprises a designated functionality that resolves the coding problem. A response to the AI prompt is received from the AI model. The response identifies the identified code package. Based at least on confirmation of non-existence of the identified code package or absence of publication of the identified code package in a verified code repository or a value of an attribute of the identified code package satisfying a criterion associated with non-trustworthiness, automatic execution of a security action with regard to the identified code package is triggered.

The invention discloses a large model intelligent agent dynamic tool arrangement method and system, a medium and equipment, and relates to the technical field of large models. The method comprises the following steps: acquiring interface metadata of an open platform, generating a standardized large model tool description based on the interface metadata, and registering the standardized large model tool description to a tool library; receiving a query request of a user, and determining a target tool based on the query request and the semantic similarity of each tool description in the tool library; mapping service parameters in the query request into interface calling parameters of the target tool; executing interface calling corresponding to the target tool based on the interface calling parameter, and preprocessing a calling result; and displaying the pre-processed calling result in a visual form. By implementing the technical scheme provided by the invention, the dynamic arrangement of the management tool can be realized, the adaptability of the system to the business scene change is improved, and the management efficiency of an enterprise is further improved.

Methods and systems for generating a sharable model splice of a digital engineering (DE) model are provided. The method comprises receiving a DE model file in a native file format; extracting model data; storing the model data in a storage area; generating external, commonly-accessible splice functions that enable external access to digital artifacts derived from the model data; and generating the sharable model splice, which comprises access to a selective portion of the digital artifacts, and access to at least one of the splice functions. The splice functions provide addressable API or SDK endpoints that enable access by third-party applications and users to the digital artifacts without access to an entirety of the DE model file and without requiring direct engagement with a DE tool associated with the DE model type. These endpoints also provide a unified programming interface to sharable model splices generated from DE models.

The invention relates to the technical field of artificial intelligence compilers, in particular to an AI compiler and compiling method based on a multi-level intermediate representation framework, and the compiler comprises a high-level semantic retention layer which converts models of different AI frameworks into Lalg-on-Tensor IR intermediate representations; the hardware perception optimization layer comprises a tensor packaging and propagation module which is used for performing block packaging, layout propagation and folding of redundant packaging / unpackaging operation on the input tensor; the dynamic partitioning module is used for automatically selecting the partitioning size based on the cache capacity and the core number of the target hardware; the microkernel fusion module is used for fusing matrix multiplication, bias addition and an activation function into a single composite operator; and the microkernel collaboration layer is in butt joint with the hardware acceleration library through the XSMM dialect to generate a target hardware code. The hardware perception optimization layer can perform optimization according to different hardware characteristics, so that codes generated by the compiler can better adapt to target hardware, and the hardware utilization rate is improved.

The invention discloses a code generation method, which comprises the following steps that: a code development platform receives input information of a user in a first code file in a project, acquires a context in the file and a first cross-file context according to a static structure of the project, and acquires a second cross-file context according to behavior characteristics of the user in a development project, obtaining a third cross-file context according to the evolution coupling degree of at least one second code file in a code warehouse of the project and the first code file, and generating prompt information according to the input information, the context in the file, the first cross-file context, the second cross-file context and the third cross-file context, and inputting the prompt information into the code generation model for reasoning to obtain at least one group of generation codes, and displaying the at least one group of generation codes to the user. According to the method, the multi-dimensional item-level context and the user input serve as the input of the code generation model, the capability of the code generation model for utilizing the cross-file context in the code generation process is improved, and the code generation effect is improved.

A system, method, and computer-program product includes commencing a parent computer process based on receiving a request to perform an analytical operation on one or more datasets, commencing at least one child computer process that is launched by the parent computer process when the parent computer process initiates an execution of the analytical operation on the one or more datasets, transmitting, by the at least one child computer process, a request to the parent computer process to retrieve the one or more datasets, writing, by the parent computer process, the one or more datasets to a cross-process queue based on the parent computer process receiving the requests, reading, by the at least one child computer process, the one or more datasets from the cross-process queue, and executing, using an analytical application executing on the least one child computer process, the analytical operation based on the one or more datasets.

The invention discloses an AI semantic understanding-based zero-code multi-terminal application automatic construction method, which comprises the following steps of: receiving a UI design draft image and layer metadata uploaded by a user, respectively extracting visual features and structural features through a double-branch feature extractor based on an AI semantic understanding technology, and establishing an AI semantic understanding model; a cross-modal attention module and a cavity space pyramid pooling module are combined to generate an enhanced feature graph, and a high-precision UI component mask and an interaction dependency graph are generated; according to target end equipment parameters, dynamic weights are generated through a multi-layer perceptron, layout constraints of the interaction dependency graph are adjusted, a layout target function is optimized, and component overlapping and visual unbalance are minimized; based on the predefined control library and the mapping rule, the UI component is mapped into the atomic control of the target platform, the interaction logic is converted into the event-action chain, and the target platform code is generated, and the automation degree and the cross-platform consistency of zero code development are improved through dynamic adaptation of the target end equipment and automatic code generation.

A system, method, and computer-program product includes commencing a parent computer process based on receiving a request to perform an analytical operation on one or more datasets, commencing at least one child computer process that is launched by the parent computer process when the parent computer process initiates an execution of the analytical operation on the one or more datasets, transmitting, by the at least one child computer process, a request to the parent computer process to retrieve the one or more datasets, writing, by the parent computer process, the one or more datasets to a cross-process queue based on the parent computer process receiving the requests, reading, by the at least one child computer process, the one or more datasets from the cross-process queue, and executing, using an analytical application executing on the least one child computer process, the analytical operation based on the one or more datasets.

In an example embodiment, a language server connected to an integrated Development Environment (IDE) is used to identify, from a given input code, various code artifacts, such as functions, variables, etc., and then to search a repository of code files for declarations, definitions, and references related to those identified code artifacts. The declarations, definitions, and references can then be passed as context into an LLM.