7 results about "Logical process" patented technology

This invention relates to the field of artificial intelligence interaction, and discloses an AI-based interactive system and method. The system includes: a data acquisition module configured to acquire user task requests and generate corresponding task execution plans; a compilation module configured to compile the task execution plans in real time and render them into an interactive execution flow graph; a data processing module configured to update the execution status of each node in the interactive execution flow graph in real time when generating the corresponding task execution plan; the data processing module is further configured to acquire user graphical operations on specific nodes or connections in the interactive execution flow graph and compile these graphical operations into intervention instructions for the task execution logic; and an execution module configured to adjust the task execution plan in real time based on the intervention instructions and update the structure and status of the interactive execution flow graph. This application presents the logical and analytical processes, enhancing the user's sense of control.

The invention provides an equipment diagnosis and maintenance method and system based on a knowledge graph and inference chain distillation, and belongs to the technical field of artificial intelligence and industrial operation and maintenance. The method comprises the following steps: firstly, constructing a knowledge graph representing equipment maintenance field knowledge in detail; then, through a controlled path sampling strategy, extracting a multi-hop knowledge path from the map, and automatically generating a corresponding question and answer pair and a reasoning chain; thirdly, constructing a distillation data set by using the data containing the logic process; and finally, distilling structured knowledge and logical reasoning ability in the knowledge graph to a lightweight student model through a staged training strategy of introducing reasoning chain alignment loss. According to the scheme, the defects of a traditional knowledge distillation method in the aspect of transmitting complex logic knowledge are overcome, the obtained small model is high in diagnosis accuracy, the decision-making process is clear and explainable, safety specifications are met, and the method is very suitable for being deployed in an industrial field environment with limited computing resources.

This invention discloses a trustworthy large-scale model enterprise scenario contract review system and method based on link backtracking, including: a document editor module, a backend engineering module, a vectorization tool module, a vector library module, a review checklist management system module, and a workflow module. This invention establishes a precise link between contract document fragments and review results, enabling direct traceability of review results to the original clauses. By assigning unique identifiers (such as slice IDs) to contract document segments, it achieves an explicit association between the segments and the representations in the vector library module, ensuring that segments retrieved based on vector retrieval can be accurately traced back to their original positions. A full-process link backtracking mechanism for large-scale model review is constructed, making the derivation basis and logical process of review conclusions transparent, allowing users to trace the derivation process of review results, significantly improving the system's credibility and acceptability in enterprise compliance scenarios.

The application discloses a buddy memory management-based simulation platform running method and device, equipment and a storage medium, which are applied to a parallel discrete event simulation platform, relate to the technical field of system simulation, and include the following steps: obtaining running data of a target logical process corresponding to a current simulation period, and respectively predicting first running overhead of the target logical process in a first running mode and second running overhead of the target logical process in a second running mode in a next simulation period based on the running data and a preset event overhead prediction model; judging whether the target logical process meets a preset mode switching condition; if the preset mode switching condition is met, switching the running mode of the target logical process to the second running mode, and after a corresponding buddy state pool is allocated for the target logical process, performing corresponding simulation operations with the target logical process based on the second running mode. In this way, the event processing rate and the memory utilization efficiency of large-scale simulation can be improved.

The invention relates to the technical field of electric digital processing, in particular to an automatic analysis method and device for a process of an automobile standard. The method comprises the following steps: acquiring a standard text of an automobile, and preprocessing the text; analyzing by adopting a pre-trained language analysis model to obtain an entity in the text and a relationship between the entities; based on domain knowledge and inference rules, performing association inference on the relationship between the entities to obtain comprehensive information; organizing the comprehensive information into a logic process, and representing the logic process in a directed graph form; wherein the requirements and steps in the standard are mapped into nodes of the graph, and the causal relationship between the steps is mapped into edges of the graph; and carrying out visual display on the logic process, and carrying out detailed annotation on each node. According to the method, technologies such as a language analysis model are utilized, key content is extracted from a standard file, the logic relation and operation steps of the key content are recognized, and a text is converted into a structured flow chart.

An intelligent data analysis system according to an embodiment of the present invention may comprise the operations of: acquiring data to be analyzed and a user query in a natural language form; analyzing the user query so as to derive an analysis objective, and establishing an analysis plan defining a logical procedure to be performed in order to achieve the analysis objective; generating, on the basis of the established analysis plan and structural attribute information of the data to be analyzed, a program code mechanically executable in a computing environment; and driving the program code in an execution environment so as to calculate and output an analysis result corresponding to the user query.

This application discloses a natural language reasoning method, apparatus, and device based on reasoning paths, relating to the fields of internet technology and language models. By adding reasoning path annotations to a subset of target samples in the model training set to simulate human thought processes, the model can mimic the entire reasoning and computation process for new questions, thereby obtaining the correct answer and improving the effectiveness and accuracy of the model's reasoning. The method includes: extracting a predetermined number of target samples from the model training set corresponding to the target task; annotating the target samples with reasoning paths and adding the annotated target samples to the model training set; using the sample data in the model training set to train a first language model to obtain a second language model, where the first language model is the base language model; acquiring target task data and inputting the target task data into the second language model for language recognition to obtain the reasoning result output by the second language model.