185 results about "External database" patented technology

The invention belongs to but is not limited to the technical field of artificial intelligence, and particularly relates to a controllable content large model generation method and system based on multi-modal thinking chain reasoning, and the method comprises the steps: S1, improving the capability of multi-agent planning task dependence and execution sequence through employing a thinking chain method, enabling a complex task to be subdivided into a plurality of subtasks through the method, and enabling the subtasks to be subdivided into a plurality of subtasks; a resource transmission process between the sub-tasks is precisely planned and is executed in a chain mode; s2, complex tools are combined into sub-agents with different modal characteristics, so that the number of selectable sub-tasks during task planning is reduced, and the planning capability is improved; and S3, storing scene information of a previous dialogue by means of an external database, and when a new request is encountered, improving correlation and accuracy of multi-agent response by quoting historical interaction information and historical multi-modal resources which have context similarity with the current request, and realizing a more intelligent reaction mechanism.

The invention discloses a text retrieval enhancement generation method and device, a medium and equipment, and relates to the technical field of retrieval enhancement generation. Comprising the following steps: establishing a database through vectorized corpora, and screening and labeling key information to generate a golden section vector library; extracting an adversarial sample from an external database by using a training problem, and fusing the adversarial sample with related corpora in a golden section vector library to obtain a training set; and adding a noise classification layer to improve the language large model, and training the improved language large model by using the fusion training set. When a user question is processed, relevant corpora are recalled, noise is recognized through the classification layer, context representation is generated through the attention fusion layer, and the output layer dynamically adjusts a decoding strategy and generates an answer. According to the method, a large language model added with a noise classification task is trained through the fusion training set, so that the model can identify and distinguish different types of noise, the adaptability of the model to different types of noise is enhanced, the model is helped to learn how to distinguish related and unrelated information, and thus the method is more robust when an actual problem is processed.

The present invention discloses an AI-enabled automated performance monitoring method and system for efficiently monitoring and evaluating the performance of one or more users in various tasks. The method involves receiving user feedback, processing it with an AI module to extract validation points, validating these points against internal and external databases, and generating refined feedback. The system comprises a user interface, internal and external databases, an AI module, and a second internal database for continuous improvement.

The invention relates to the technical field of big data, and discloses a massive small file reading optimization method, system and device and a medium, and the method comprises the following steps: scanning small files in a distributed file system by using a Spark calculation engine to obtain metadata information of the small files; based on the metadata information, small files are classified, and the small files with the same type and data relevance are classified into one group; the resource states of cluster nodes are monitored in real time, the resource states comprise the processor utilization rate, the memory occupancy rate and the I / O load, the load score of each node is calculated, and small file task quotas are dynamically allocated; executing small file merging operation in parallel by utilizing a Spark memory calculation engine to generate a merged file containing a plurality of original small files; creating and maintaining index information in an external database, and recording the position and attribute of each original small file in the combined file; and providing a read-write interface through the special service layer, and positioning and accessing specific small file contents in the combined file.

The invention is suitable for the technical field of search enhancement generation, and provides a multi-intelligent-agent search enhancement generation system and a question answering method, equipment and product thereof. According to the question and answer method of the multi-agent search enhancement generation system provided by the embodiment of the invention, multiple agents such as the routing decision agent and the tool use agent are introduced, so that information can be obtained from an external database, a reasoning process can be autonomously planned based on domain knowledge, a search strategy is dynamically optimized, and the search efficiency is improved. And a specific analysis tool of a specific industry is flexibly called. Different from a static'retrieval-reading-generation 'mode of a retrieval enhancement generation system in the prior art, the multi-intelligent-body retrieval enhancement generation system adopts a multi-round interaction and intelligent optimization mechanism, and dynamically evaluates a retrieval result, adjusts a query mode and calls a professional tool in an answer generation process so as to ensure high-quality intelligent question and answer service.

Systems and methods for improved data curation and integration are disclosed. An example system includes one or more processors; and a memory storing instructions that cause the system to: receive an initial query, query an external database to obtain a set of keywords, topics, and other queries pertinent to the initial query, and embed articles into a database. The system may also append the keywords, topics, and other queries to the initial query to obtain an external data query and embedded articles to the initial query to obtain an internal data query; and generate (i) an external output by applying a large language model (LLM) to the external data query and (ii) an internal output by applying the LLM to the internal data query. The system may also combine the internal output with the external output to obtain a combined output and cause the combined output to be displayed.

An example computer system includes a transactional database configured to store multiple data sources each corresponding to one of multiple applications, a standby database configured to store multiple rule schemas and multiple data schemas, and processor hardware configured to execute instructions to monitor for a change to stored data in one of the multiple data sources, via a change data capture process, replicate data from the transactional database to the standby database in response to an update indicated by the change data capture process, identify encrypted data in at least one data object of an updated data table of one of the data schemas of the standby database, extract data from the at least one data object to store decrypted data, wherein the standby database is an external database for the data extraction engine, and reload the decrypted data to one of the data schemas of the standby database.

A system for evaluating aspects of a residential plumbing system may (1) receive, via a user device, a user input indicative of an address for the residential property; (2) communicate the address to an external database, the external database containing a plurality of residential records associated with the address in a geographic location; (3) receive, via the plurality of residential records, a plurality of plumbing system aspects and a plurality of residential property aspects; (4) predict an estimated remaining lifespan of the plumbing system based upon the plurality of plumbing system aspects and the plurality of residential property aspects; and / or (5) generate a notification, the notification comprising the estimated remaining lifespan of the plumbing system and one or more recommended actions.

The invention provides a vehicle-mounted chip industry chain monitoring system and method based on an NLP technology, and the method comprises the steps: carrying out the deep mining of a vehicle-mounted chip industry knowledge base through the NLP technology, and extracting the high-frequency features related to a vehicle-mounted chip to form a local professional feature library; acquiring industrial chain information of the vehicle-mounted chip according to the local professional feature library to form an external database; semantic extraction based on the NLP technology is carried out on data in the external database; constructing a multi-dimensional feature model based on the extracted semantic information by adopting a deep learning algorithm; performing information classification and hierarchical labeling on the specialized feature library of the specimen place by using the multi-dimensional feature model; creating a recommendation system by adopting a KNN algorithm on the basis of the multi-dimensional feature model subjected to information classification and hierarchical labeling; and performing visual display on the classified and graded data output by the recommendation system. According to the invention, the monitoring efficiency and accuracy of the industrial chain of the vehicle-mounted chip are improved, and accurate information classification, dynamic updating, visual early warning and auxiliary decision making are realized.

The invention discloses a knowledge indexing and retrieval method for an AUTOSAR hierarchical architecture, and the method comprises the steps: taking a hierarchical structure of an AUTOSAR CP knowledge system as a trunk, carrying out the vectorization of an input document, constructing an entity-relation hierarchical tree, obtaining a knowledge graph indexing structure, carrying out the query matching through the similarity during retrieval, and carrying out the retrieval. Sorting retrieval output entities and relationships, constructing a context, and outputting a structured answer; comprising the following steps: step 1, indexing: intelligently partitioning external database content input by a user and performing vectorization storage, operating general entity extraction and / or AUTOSAR special extraction and combining results, constructing a tree structure, performing hierarchical clustering to form a knowledge graph, and generating a community report; and 2, retrieval: receiving user query, finding related entities through vector similarity search, aggregating contexts in combination with tree and graph dual structures, and starting universal cue words and / or AUTOSAR special cue words to generate structured answers. The invention further discloses a system for implementing the method, and the system has wide application value.

The invention provides an industrial chain analysis method, system and device, a storage medium and a program product, and relates to the technical field of data analysis. The method comprises the steps that when it is detected that to-be-queried information is input into an industrial chain analysis model, intention recognition is conducted on the to-be-queried information, an intention recognition result is obtained, the intention recognition result at least comprises the name of a preset industrial chain, and the industrial chain analysis model is a large language model; the external database is a graph database constructed based on industrial chain data in a vector form; the intention recognition result is decomposed, a sub-query task set is obtained, and each sub-query task corresponds to the name of one industry chain in the intention recognition result; based on the target sub-query task, an analysis result of the target sub-query task is determined, and the target sub-query task is any one sub-query task; and determining an industrial chain analysis result corresponding to the to-be-queried information based on the analysis results of all the target sub-query tasks. According to the invention, the analysis accuracy can be improved.

The invention provides a parameterization programming method based on a hydraulic support structural part welding program, which comprises the following steps of: 1) compiling a standard series workpiece welding program template according to process parameter information of a standard series workpiece; 2) determining the number of required numerical registers according to the design specifications of the standard series of workpieces so as to match the number of variable parameters of the standard series of workpieces; (3) according to the placing position standard of the workpiece on the positioner and the layout of the robot welding workstation, a function relation between a robot world coordinate system and the characteristic points of the positioner is constructed, and assignment operation logic of a position register and a numerical value register is defined; 4) taking the changed process parameter information as position register data for updating; 5, the welding robot calls the information in the position register, and updating of the welding gun operation program parameters is achieved.The method has the advantages that hardware equipment input and external database support are not depended on, and parameterized programming is completed through internal hardware of the welding robot.

The invention relates to the technical field of information query, in particular to a recruitment and application personnel information query system and method based on big data, and the system comprises a data acquisition module which is used for extracting resume data according to an application resume document and outputting a structured resume field; the data verification module is associated with an external database, verifies authenticity according to the resume field, and outputs a verification result; when the system is used, fuzzy detection, exaggerated word recognition, semantic similarity and abnormal probability distribution jointly participate in judgment, risks are stably recognized in different contexts, background cross validation and multi-dimensional fusion are carried out based on a big data model, system robustness can be improved, and man-made subjective judgment errors can be reduced; potential false information such as exaggerated packages and fuzzy descriptions is effectively recognized, the labor cost of'resumes are attractive but not consistent in ability 'is reduced, the system automatically completes preliminary screening credibility scoring, repeated consulting by workers is not needed, and the recruitment efficiency is improved.

A clinical workflow optimization system includes a data processing and analysis platform electrically connected or communicatively coupled to a user device and an HIS server, and a generative AI model set communicatively coupled to the data processing and analysis platform. The data processing and analysis platform provides one or more assistant tools. When the user device selects an assistant tool to execute a task instruction, the data processing and analysis platform uses one model of the generative AI model set to interpret and execute the task instruction. The analysis platform presents the execution result of the task instruction to the user device, wherein data required to execute the task instructions is recorded in the content of the task instructions or provided by the HIS server, the user device, or an external database. On the platform, users can independently develop and build clinical data processing tools using natural language.

The invention provides a chemical reaction prediction method based on multi-agent cooperation, and the method comprises the steps: analyzing the first input content of a first user, generating a corresponding first task flow, and issuing a corresponding task instruction according to the first task flow; accessing an external database or network resources according to a preset query path, recalling a first result corresponding to the first chemical reaction target, and structuring the first result; analyzing and summarizing the structured first result, and extracting a first reaction prediction content corresponding to the first chemical reaction target; performing reasoning prediction on the first input content in combination with the first reaction prediction content to generate a corresponding first chemical reaction prediction result; and integrating and formatting the first chemical reaction prediction result to obtain a second chemical reaction prediction result, and returning the second chemical reaction prediction result to the first user. According to the method, the accuracy of chemical reactant prediction is improved, and the potential illusion problem during large model reply is relieved.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating augmented output sequences by using a language model neural network and a plurality of databases. Each database is associated with a respective level of confidence. Each database stores a respective plurality of pre-generated embeddings in an embedding space.

Cybersecurity mission planning and analysis uses artificial intelligence systems to make red and blue team exercises more comprehensive and effective by supplementing individual expertise, reducing reliance on intuition, and eliminating gaps in knowledge. In an embodiment, a platform for cyberattack missions planning and analysis by red and blue teams is coordinated by a control center. An incident generator generates cyberattack scenarios and events using data from external databases and an internal attack knowledge manager having a knowledge graph of data about the network under attack in conjunction with one or more machine learning algorithms configured to identify potential network vulnerabilities. Red are guided by a machine learning algorithm configured to provide suggestions as to potential successful attack paths. Blue teams are guided by a machine learning algorithm configured to provide suggestions as to potential successful attack paths.

An interactive question-answer system with retrieval-augmented generation for a personalized database according to the present invention comprises: an input unit which allows a user to input a question or map, through a tagging box system, a portion of text of a document of interest to a keyword to which a tag is assigned and store the mapped text in a personal archive; and an RAG pipeline which retrieves and injects information by using the personal archive and an external database for the question input through the input unit, and generates an answer on the basis of the information. Therefore, the accuracy and reliability of information can be significantly improved.

The invention provides an automatic external connection regression testing method and device, equipment and a storage medium, and belongs to the field of computer software tests.The method comprises the steps that historical external data are extracted from an external connection database in batches based on an external connection regression testing request input by a client interaction page; converting the historical external data into basic test data according to a preset rule based on test demand information input by the client interaction page; updating the basic test data into test sample data matched with the current interface of the external connection component; calling a logic code of the external connection component based on the JSP, analyzing the test sample data and forwarding the test sample data to the service component; and comparing a business result generated by the service component with an expected result, and generating a test report. Through the method provided by the invention, the limitation of a traditional scheme can be overcome, and the efficiency and quality of external connection regression testing are improved in an automatic testing mode.

To provide an information extraction support device, an information extraction support method, and a program capable of supporting easy and efficient extraction of information desired by a user.SOLUTION: A device that extracts and provides user-desired information from an external database on the basis of a message input by a user through an terminal, the message including first information that enables identification of an extraction target and second information related to a type of information to be extracted, the device comprising: Generating a query for extracting desired information from an external database by inputting an instruction sentence including the identification information and the second information to a AI chat bot that responds when the instruction sentence is input, acquiring the desired information from the external database by using the query, and outputting information for displaying the acquired desired information to the terminal as a response to the message.SELECTED DRAWING: Figure 7

To acquire an appropriate data amount of relevant information from external databases, or the like, for input into a generative AI.SOLUTION: An information processing system manages semantic rule information including semantic rules for acquiring information within a web page whose semantic connections are identified based on the grammar of source codes of the web page as linked information, and navigation rule information including navigation rules that determine the order in which a plurality of web pages are visited when acquiring related information. Then, the system navigates the plurality of web pages based on the navigation rules, and acquires the linked information as the related information from each of the navigated web pages based on the semantic rules.SELECTED DRAWING: Figure 6

We provide the system. [Solution] A generation means for generating a digital book by integrating digital data acquired from various recording media with user profile information and related information acquired from an external database, Optimization means for optimizing the aforementioned digital book for different display devices, A means of sharing the generated digital book with an external third party, A system that includes this.

The present disclosure provides a training method for a machine learning model and a refinement method for training samples. The training method includes: obtaining feature vectors of the training samples, clustering the feature vectors to obtain representative training samples, and then training the machine learning model based on the representative training samples. The refinement method includes: querying an external database based on an original sample to obtain supplementary data, using a machine learning model to evaluate the original sample to generate review data, and then using another machine learning model to refine the original sample based on the supplementary data and the review data.

An electronic device including a communication circuit, at least one processor, and at least one memory configured to store instructions, the at least one memory and instructions configured to, with the at least one processor, cause the electronic device to: receive equipment data of a semiconductor exposure equipment from an external database through the communication circuit, generate integrated data that integrates the equipment data by wafer and equipment model, generate a model that predicts daily wafer production of the semiconductor exposure equipment based on process time of the semiconductor exposure equipment for a wafer using the integrated data, the process time including wafer swap time for each equipment, lot swap time for each equipment, and exposure time for each equipment, and evaluate performance of the semiconductor exposure equipment based on the generated model.

This application provides a method, device, and storage medium for dimension table joins in Flink, relating to the field of big data technology. The method identifies a target subtask among multiple subtasks of a unified dimension table join operator in the current task manager. After controlling the target subtask to send a query request to an external database and obtain the dimension table data sent by the external database, the method controls the target subtask to load the dimension table data into a static dimension table object set in the metadata space of the task manager. This avoids putting significant operational pressure on the external database in a short period. The method controls the target subtask and multiple other subtasks to perform dimension table join operations based on the obtained raw data and the dimension table data in the static dimension table object, allowing all subtasks in the same task manager to share the same dimension table data, thereby saving physical memory resources.

The invention provides an interactive rail transit construction organization aided design method, which comprises the following steps of: establishing a graphic database, and setting a plurality of graphic templates in the graphic database; an external database is created, the external database adopts a self-defined entity with design information and is used for storing a plurality of construction preparation parameters input by a user, a plurality of design parameters are set by the self-defined entity used for representing a design line, and the distribution condition of the drawn progress diagram is determined according to the distribution condition of the drawn progress diagram; based on a graphic template selected by a user, associating parameter variables of objects with numerical values of related design parameters: loading control points from a control point graphic template, inserting project objects generated by projects into the template, entering a project object editing dialog box by double-clicking the objects or selecting a right-click menu of the objects, modifying the attributes of the dialog box, and completing the project object editing. And redrawing the object, and synchronously modifying the object data at the same time. According to the method, the working efficiency of design can be greatly improved, and the time cost and the labor cost are reduced.

Systems and methods provide for configuring and transferring multiple data files including image data files using a mobile device. A mobile device may acquire multiple data files including image files from disparate sources and transmit them to an enhanced image processing server. The enhanced image processing server may analyze the received image files using various techniques. To aid in analysis, the server may also interface with various internal and external databases storing reference images or other reference data of previously analyzed similar data. Further still, the enhanced image processing server may transmit a result of the analysis back to a mobile device.

The application discloses an RNA-disease correlation relationship visual analysis method based on a density relationship graph, first acquires internal and external databases, and establishes a corresponding relationship between a prediction result and an internal RNA-disease correlation relationship database; a graph data structure is established, the acceleration and speed of a node at a current time are simulated through discrete force, the position of the node at a next time is calculated, the weighted density of the node on a two-dimensional plane is estimated, and the density contour lines of each density level are calculated; each heterogeneous node and different markers are drawn to distinguish the biological semantic features of the nodes, and the correlation relationship between the nodes is drawn based on edge coordinate layout; a Voronoi polygon graph on the two-dimensional plane and a corresponding quadtree spatial index are calculated to determine the interactive object when a mouse is moved. The application can not only help biological researchers to efficiently check and explore the existing RNA-disease correlation relationship, but also support a user in verifying and analyzing the prediction result of a deep learning model.

We provide the system. [Solution] An information processing device that provides drivers with real-time sales strategies, A means of obtaining event information, weather information, and traffic information from an external database, A means for performing analysis to optimize the driver's business using the acquired information, A means for proposing a sales area and route based on the aforementioned analysis, A means of notifying the driver of the proposed service area and route by voice using an audio output device, A means of receiving voice instructions from the driver and searching for additional information based on those instructions, A system that includes this.

An information processing device (8) and the like is provided which can generate inspection data regarding a failure in an injection molding machine (1) with sufficient accuracy and uniformity and can report the inspection data in the event of a malfunction in the injection molding machine (1).An information processing device (8) comprises a processing unit (81) configured to collect statement data relating to a failure of the injection molding machine (1) through a dialogue with a user using a chatbot and machine log data of the injection molding machine (1) in the event of a malfunction in the injection molding machine (1); and to create investigation data containing the collected statement data and machine log data, and a communication unit (83) configured to upload the created investigation data to an external database (10) or to notify a person involved with the injection molding machine (1) about the investigation data.