2552 results about "Plug-in" patented technology

The invention belongs to the technical field of electrical digital data processing and resource allocation, and provides an agent lightweight deployment method and a computing power elastic allocation method, lightweight deployment realizes one-time development of multi-platform deployment by constructing a plug-in container packaging tool and a multi-architecture compiling engine; static analysis is used for stripping redundant dependence of the model, and the model is dynamically cut in combination with edge resources; developing an intelligent resource description language, integrating a control group and a filtering technology to realize container-level resource monitoring, constructing a 12-dimensional dynamic state space fusing a node state, task characteristics and a network environment through computing power elastic distribution, and introducing a time delay, cost and reliability three-dimensional weighted reward model to quantify distribution earnings; an edge cloud cooperative training framework and an edge execution strategy are designed, experience is collected, a cloud end trains a Q network through federal learning, an optimization decision is played back in combination with priority experience, the agent deployment efficiency and the resource utilization rate are improved, and data privacy is guaranteed.

A content editor or a plugin thereto automatically generates authorship tokens that identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

The invention discloses an automatic Internet of Things protocol adaptation method and system based on a large model. The method comprises the following steps: setting a knowledge base; selecting a large model, loading a knowledge base to integrate the preprocessed communication protocol into a queriable data structure, loading a cue word template to analyze the cue word template into a recognizable data structure, and generating a protocol analysis framework; generating a protocol analysis plug-in according to the protocol analysis framework, and configuring the protocol analysis plug-in on an Internet of Things platform in a plug-in form; and when a communication protocol analysis demand exists, inquiring the content of the protocol analysis plug-in from the database, loading the content to the redis cache, carrying out calling analysis, and outputting an analysis result. A communication protocol document is uploaded through an Internet of Things platform, an interface document is analyzed into a protocol analysis framework through a large model, the protocol analysis framework is generated, configuration is provided in a plug-in mode, an application program calls the analysis framework, equipment access data is automatically analyzed, and equipment data analysis can be achieved without coding.

A content editor or a plugin thereto automatically generates authorship tokens that identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

The invention discloses an auxiliary code review method and system based on a large language model, and the method comprises the steps: analyzing a submitted code file based on a static analysis technology and an abstract syntax tree AST extraction tool, and extracting key elements; reviewing the code through a pre-constructed company internal and external knowledge base by relying on a knowledge graph technology to obtain a reviewing result; performing context analysis on the code by adopting a large language model to obtain an analysis result; integrating the review result and the analysis result, and generating a review report through NLP; a containerization technology is adopted to be integrated with plug-ins of mainstream development tools, and private deployment is supported. According to the method, the efficiency, accuracy and safety of code review can be greatly improved, the workload of manual review is reduced, and automation and intelligentization of the code review process are realized.

The invention is suitable for the field of GPU management, and provides an intelligent dynamic management method for GPU computing power and a cloud platform, and the method comprises the following steps: collecting task data and GPU state data, and generating a task queue and a resource allocation strategy in combination with a scheduling plug-in; based on the task queue and the GPU real-time load, dynamically adjusting a resource allocation proportion through reinforcement learning to analyze a task dependency relationship and generate a migration plan; optimizing a communication path and adjusting asynchronous transmission delay according to the task dependency relationship and the GPU communication topology, and outputting a synchronous state mark; and monitoring abnormity in combination with the synchronization state and the GPU hardware state, executing thermal migration according to the migration plan, performing video memory recovery, and updating the resource idle list. According to the invention, through algorithm innovation and hardware collaborative optimization, intelligent, dynamic and efficient resource scheduling in the multi-GPU system is realized.

Systems, methods, and computer-readable storage media for a digital marketplace add-in. One method includes receiving an entity dataset includes marketplace design preferences that define styling and designs of an online marketplace provided by a marketplace computing system, and generating and presenting, on a user device, a first application user interface based on the marketplace design preferences, the first application user interface including a plurality of interactive elements associated with payment information of a user. The method further includes receiving a preference in response to a selection of a first interactive element of the plurality of interactive elements, and receiving, from the marketplace computing system, transaction information regarding a transaction. The method further includes identifying the user based on correlating the transaction information to the user, retrieving the preference based on identifying the user, and automatically routing, a resource to the user based on the retrieved preference.

The invention relates to an inference service monitoring method and device, computer equipment and a storage medium. According to the method, the plurality of data acquisition scripts are arranged in the nodes in the cluster and are used for acquiring the monitoring data of the service monitoring indexes, and the plug-in is arranged to drive the server proxy component to regularly execute the execution tasks of the data acquisition scripts so as to collect the monitoring data, so that the target monitoring data expected to be monitored can be directly acquired; the target inference service is created when the monitoring data collection command of the target index is received, the corresponding relation between the virtual line of the target inference service and the container set created by the target inference service is obtained, the target monitoring data can be quickly retrieved and obtained based on the corresponding relation, multi-layer calling and searching are not needed, and the efficiency is improved. The corresponding data can be directly called and checked, and the searching efficiency of the target monitoring data is improved.

The embodiment of the invention provides a code exception analysis method and device, a storage medium and a program product. In the embodiment of the invention, in the preset plug-in, the global knowledge graph is constructed through the logic syntax tree of the plurality of original business codes, so that intelligent anomaly analysis is carried out on the modified to-be-detected codes, multi-language and heterogeneous programming styles and complex dependency limitation are broken through, and cross-language and cross-file analysis is supported; change code snippets and associated influence code snippets thereof are accurately identified, and a data basis is tamped and analyzed; the analysis depth is deepened and the accuracy is improved through a multi-dimensional anomaly analysis large model and four-dimensional collaborative analysis in combination with an adaptive review rule and a knowledge graph; and finally, performing correction based on the generated repair scheme. Through the technical fusion of an MCP protocol, a multi-AI model, a syntax tree and a knowledge graph, the high efficiency, accuracy and real-time performance of code examination and repair are realized, and the service development quality and the system operation stability are remarkably improved.

The invention relates to the technical field of automatic data analysis, in particular to an intelligent data report generation method and system based on an MCP protocol. The method comprises the following steps: constructing a semantic intention vector through a context semantic structure according to an obtained natural language instruction of a user; constructing a semantic task path graph based on the semantic intention vector by utilizing a knowledge graph; according to the constructed semantic task path diagram, performing intention path and tool capability mapping based on an MCP protocol; constructing a task flow based on an MCP protocol and performing task scheduling optimization; carrying out data source unified modeling based on the constructed task flow, and generating a stable and controllable calculation task flow; and visual expression generation from data to graphs is realized through an intelligent recommendation and structural modeling mechanism. According to the method, a semantic-driven MCP plug-in tool chain and a chart capability component index are constructed, so that a full-automatic closed loop from a natural language intention to data analysis and chart generation is realized, and meanwhile, the use threshold of non-technical users is reduced.

Techniques disclosed integrate generative AI assistant plugins with a large language model (LLM) to enhance conversational interactions. The techniques include receiving a user's input and retrieving relevant text passages based on a query derived from this input. A complex LLM prompt is generated, including these passages, descriptions of candidate plugins, and the user's input. This prompt is sent to an LLM service, which selects the most suitable plugin for the user's needs. Following this, a query is sent to the chosen plugin, and its response is used to craft the agent's reply to the user. The techniques emphasize dynamic selection and integration of specialized plugins based on real-time user input, leveraging LLM capabilities to interpret and recommend the best plugin response. This approach ensures tailored, informed interactions by providing responses that are both relevant and enriched with specialized plugin knowledge or functionality.

The invention relates to the technical field of data acquisition, in particular to a multi-source heterogeneous bus data acquisition protocol configuration method, which realizes protocol identification and structure analysis of CAN (Controller Area Network), Modbus and Ethernet / IP (Internet Protocol) bus data by dynamically compiling protocol source codes and registering analysis classes, and comprises the following steps of: extracting protocol feature information from a data stream; the method comprises the following steps of: calling a corresponding protocol analysis class to perform recursive analysis, and executing parameter analysis and mapping, in addition, defining a new protocol semantic feature and dynamically generating a protocol analysis plug-in through an XML (Extensible Markup Language) configuration file to realize protocol semantic-level custom extension, adopting source code level dynamic compilation and plug-in design, supporting a new protocol plug-and-play mode, and being high in practicability. System codes do not need to be modified and redeployed, and the flexibility and expandability of the system are effectively improved.

Disclosed herein is an audio system that can be customized by the user (including the developer) and that may allow the user to control more than just the sound levels and may allow the user to select more than one of a few pre-determined settings. Disclosed herein is a development platform that allows manufacturers (including the developers) to test various different parameters, settings, algorithms, functions, processes, accessories, and the like. The development platform allows the manufacturer to simulate the performances from possible options for the audio system, and then load the selected option from the development platform to the audio system. Additionally, the development platform that enables the end user to have the same level of control and ability to access, upload, and control plugins on the end user's device(s).

The invention provides a business arrangement scheduling method based on event driving, which comprises the following steps of: constructing a unified business arrangement framework, describing a business process by using a unified process definition language, and defining a process metadata standard; adding a general process engine with a plug-in mechanism in the business arrangement framework; establishing a real-time event processing architecture by taking an event as a core, and adding an event-driven business process engine; constructing a monitoring platform on the basis of the real-time event processing architecture, performing real-time monitoring on an event stream and event processing, and performing visual display; a unified retry mechanism is introduced, and a retry strategy and retry management are defined; according to the method, a unified, efficient and easy-to-monitor and easy-to-maintain business arrangement framework is established, so that the scheduling process is conveniently arranged through event-driven business, the endpoint retry and business flow monitoring capability is provided, the realization difficulty of monitorable and retry in the business is simplified, and the robustness of the business is improved.

The invention provides a task understanding and executing system based on a multi-mode intelligent agent, and relates to the field of artificial intelligence, man-machine interaction and automatic control. The system realizes semantic understanding, automatic disassembly, plug-in execution and execution result verification of user tasks through multi-modal input of voice, files, texts and the like, and performs memory and self-learning in combination with a knowledge base, so that a highly intelligent man-machine interaction mode is realized. The system can be widely applied to office automation, virtual assistants, software control, intelligent operation and maintenance and other scenes.

The invention relates to a peripheral adaptation system based on a dynamic plug-in loading mechanism, and belongs to the technical field of plug-in management. The system comprises a dynamic plug-in loading management unit, a peripheral adaptation management unit and a front-end management unit, the dynamic plug-in loading management unit is used for managing the loading and hot plug functions of the plug-in and realizing the loading, isolation and unloading of the plug-in when the system runs; the peripheral adaptation management unit is used for communicating with a peripheral, and analyzing and identifying a special protocol and an interface of the peripheral through the intelligent adapter; and the front-end management unit is used for designing an API (Application Program Interface) for a front-end application to call, and performing authority control on sensitive operation through the security access module. Dynamic loading and flexible support of various peripherals are realized, compatibility of the peripherals is optimized, and maintainability and expansibility of the system are improved.

A content editor or a plugin thereto automatically generates authorship tokens that identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

The invention relates to an artificial intelligence accelerator card heterogeneous cluster adaptation method and system and a storage medium, and the method comprises the steps: obtaining a unified standardized adaptation module registered according to a private keyword provided by a training framework; the training framework is a training framework of a heterogeneous cluster model; accessing a hardware layer software stack of each heterogeneous acceleration card through a factory mode in the unified standardized adaptation module; a calculation task distribution mechanism of the training framework is expanded in a plug-in form, so that the training framework autonomously optimizes a target heterogeneous accelerator card; performing condition compiling according to an operation environment where the unified standardized adaptation module is located so as to access a target heterogeneous accelerator card and be used for training framework autonomous optimization; and according to the unified test module, the adaptation state of the unified standardized adaptation module and each target heterogeneous acceleration card is verified, and the problems that the artificial intelligence acceleration card heterogeneous cluster adaptation development cost is high and autonomous optimization cannot be achieved are solved.

The invention provides an operator unloading method and system of a vectorization execution engine based on a DPU heterogeneous architecture, the DPU heterogeneous architecture comprises a CPU and a DPU network card, and the DPU heterogeneous architecture is applied to an open source distributed computing system; the open source distributed computing system performs grammar analysis on a query language input by a user and adds physical execution stage operation to obtain a physical execution plan, and the Spark plug-in intercepts the physical execution plan and converts the physical execution plan into a query plan based on a set rule; transmitting to a vectorization engine execution path and calling a vectorization execution engine to carry out data processing on a plurality of operators in the query plan; a performance function of a DPU heterogeneous calculation version in a function system of the vectorization execution engines is called, calculation resource consumption of operators capable of being processed by the multiple vectorization execution engines in the query plan is calculated, the operators higher than a preset standard are unloaded to a DPU network card from an original CPU, and the data processing performance of the query task is improved through operator unloading.

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.

According to the urban traffic automatic simulation plug-in based on the large language model and the implementation method, after a user inputs a request for a road network and a request for vehicle routing by using a natural language, the request is transmitted into a full-process automatic simulation module, and the full-process automatic simulation module carries out simulation; the input analysis agent extracts a key value from a natural language to generate a character string in a Json format, then the character string is spliced, a prompt input simulation input construction agent containing detailed simulation information is generated, the simulation input construction agent calls a packaged tool function, a vehicle route xml file and a road network xml file are generated respectively, and the vehicle route xml file and the road network xml file are connected with the simulation input construction agent. And the simulation execution intelligent body opens the SUMO-gu i to start simulation, and returns a result through a graphical interface. According to the method, the technical complexity of traditional traffic simulation is effectively simplified, a simulation tool is promoted to be transformed from professional modeling to intelligent decision support, and an innovative technical path is provided for optimization and management of a dynamic traffic system.

A graphic design implementation system provides a design interface to render at least a portion of a graphic design and a code interface to render a code representation for at least a portion of the graphic design. Providing the code interface includes executing one or more plugins to generate the code representation, the one or more plugins including at least a first plugin that is selectable by a user to configure the generation of the code representation in accordance with one or more preferences.

The invention relates to the technical field of artificial intelligence, and discloses an enterprise-level large-model agent application system supporting multi-modal collaboration, and the system comprises a user interaction terminal, an agent engine server, a knowledge engine server, a plug-in integration center, and a distributed storage unit. The agent engine server is responsible for intention recognition and task arrangement of a multi-modal input signal, and dynamically loads a differential reasoning strategy based on an environment isolation mechanism. And the knowledge engine server constructs a cross-modal semantic anchor point, analyzes an unstructured document into a tetrad knowledge unit, and realizes accurate recall of images and texts by using a hybrid retrieval algorithm. And the plug-in integration center executes outbound replacement and inbound restoration of the sensitive data through the context-aware dynamic desensitization gateway. According to the method, through a multi-modal semantic association and closed-loop verification mechanism, the problems of low complex document retrieval precision and leakage of external calling data are solved, and the service processing capacity and safety of the system are improved.

The invention discloses a system supporting qt4 to adapt to wayland and a wayland interaction method, and relates to the technical field of computer software, the system comprises a QtGui module, a Qt event processing module and a QWayland module; the QtGui module is used for drawing a target interface of a developer through qt4 native api; the Qt event processing module is used for packaging an event of a wayland client through a qpa plug-in, and distributing the packaged event of the wayland client to an event processing framework of qt4; and the QWaYland module is used for processing the information of the waYland event, and calling the Qt event processing module to package the event of the waYland client. According to the invention, a more perfect wayland protocol is provided, so that the qt4 can provide more interaction functions under the wayland, and an event processing mechanism for the wayland in the qt4 is perfected, so that the qt4 can adapt to versions of wayland 1.0 or above, and a more friendly development tool is provided for developers.

The invention discloses a gallery integrated internal production software system based on a modular low-coupling architecture, which is characterized in that a system function is divided into a plurality of modularized modules and the modularized modules are packaged and deployed by a uniform interface, so that the coupling degree between the modules is remarkably reduced, and the problem of global code change caused by module dependence in a traditional single architecture is avoided; direct calling is replaced by an event-driven mechanism, asynchronous communication and decoupling cooperation between modules are realized, and the stability and maintainability of the system during function change or addition are improved; the configuration driving mechanism enables the business process to be dynamically adjusted, different business requirements can be met without modifying a program source code, the plug-in management mechanism provides a standardized third-party extension access channel and supports function loading according to requirements, and the limitation that a traditional system is fixed in function and closed in development is broken through; according to the method, the software can run consistently in Windows, Linux, MacOS and other environments, and the key problems that in the prior art, the coupling degree is high, the expansibility is poor, configuration is not flexible, and the platform adaptation capacity is weak can be effectively solved.

The invention provides a large model service system and method, computer equipment and a readable storage medium. A cue word engineering module configures a cue word template; generating a target text according to the prompt word selected by the user; the retrieval enhancement generation module receives a basic text uploaded by a user, converts the basic text into word vectors, stores the word vectors in a database, and retrieves prompt words from the database according to question information input by the user to generate a target text; the plug-in development module receives the configuration file, analyzes the configuration file to obtain API interface information, calls extended data to retrieve cue words, and generates a target text based on the cue words; and the agent module defines the execution combination and sequence of the cue word engineering module, the retrieval enhancement generation module and the plug-in development module according to the user-defined operation of the user on the system execution chain. By adopting the method, the flexibility of large model service, the efficiency of model retrieval and the safety of model service are improved, diversified business scene requirements are further met, and the user experience is improved.

The invention discloses an automatic compiling and adapting method for an RISC-V extension instruction, and belongs to the technical field of compilers. According to the method, a dynamic DSL (Digital Subscriber Line) for registering a custom instruction, adding register use constraints and defining a specific code mode is designed. The LLVM plug-in is used for automatically integrating the registered custom instruction in the compiling process. The invention relates to a self-defined instruction rapid adaptation mechanism which is specially provided for a continuously provided RISC-V self-defined instruction expansion scene, and by automatically generating correct assembly codes of registered self-defined instructions, correct registers are automatically distributed and reserved according to register use constraints; the method comprises the following steps of: searching a defined specific code mode and semantics, and automatically generating and inserting a registered custom instruction in a program, so as to realize the rapid adaptation of a compiler to an RISC-V custom extension instruction and the automatic use of a program code to the custom instruction, and the whole process does not need a developer to manually modify the compiler or a program source code.

A content editor or a plugin thereto automatically generates authorship tokens that identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

A computer-implemented method, according to one approach, includes performing a predetermined first data merge process in response to a determination that a version conflict exists between a plurality of versions of a data file resulting from editing performed on different cloud devices. The predetermined first data merge process includes determining a first merging policy of the data file from a plurality of potential merging policies, determining a plugin associated with the data file, and calling the plugin. The first merging policy is used as an input for the plugin, and the plugin includes predetermined conditions for determining first contents of the versions of the data file to exclude from a merge operation performed on the data file and second contents of the versions of the data file to include in the merge operation.

The invention provides a plug-in service processing method and a Spring Boot service dynamic aggregation integration system, and relates to the technical field of computer software, and the plug-in service processing method comprises the following steps: receiving a plug-in service directory, and executing initialization operation; traversing the plug-in service directory by using the plug-in management framework, and generating a plug-in service package and a plug-in resource list corresponding to the plug-in service; the plug-in service package is loaded through the plug-in management framework, so that a key component of the plug-in service package is registered to Servlet Context of a Servlet container of a main service; and instantiating the service starting class of the plug-in service through the plug-in management framework, and executing starting operation for the registered plug-in service by utilizing the instantiated service starting class, so that a key component of the plug-in service monitors and responds to an external HTTP request. According to the method, flexible scheduling and efficient utilization of resources are realized, the micro-service deployment and operation and maintenance cost can be reduced, and the resource use efficiency can be effectively improved.