3results about How to "Improve content quality" patented technology

The invention provides a method and a device for realizing content slicing of an AI Agent based on AI, RPA and LLM, and relates to the field of AI, RPA, LLM and AI Agent. The method comprises the steps of obtaining to-be-sliced content, wherein the to-be-sliced content comprises a plurality of candidate content slices; wherein the plurality of candidate content slices are obtained by slicing the content to be sliced according to the content structure; calling an LLM (Large Language Model) to carry out content splitting processing on at least one candidate content slice in the plurality of candidate content slices to obtain a target content slice; the vector similarity between the statements in the target content slice is greater than or equal to a similarity threshold; and calling the LLM to construct a slice vector library according to the target content slices, wherein the slice vector library is used for retrieval enhancement generation processing. Therefore, the conditions of content looseness, content splitting and the like of the target content slice can be avoided, the accuracy of retrieving the recalled content slice is improved, and the content quality generated by the RAG is improved.

The application relates to the technical field of knowledge base generation, and particularly discloses an education knowledge base content generation method and system based on AI big data. The method comprises the following steps: comparing user answer content with answer information to obtain a matching degree, calibrating positive samples and negative samples to train an evaluation model, and determining a reference standard score according to the quantity relationship between the positive samples and the negative samples; based on the reference standard score and a tolerance threshold, a plurality of candidate knowledge contents are screened to calibrate them as stable knowledge contents or to-be-corrected knowledge contents, and are output. By constructing an evaluation system based on user real answer data and an evaluation standard reflecting the actual application effect of the knowledge content, and automatically calibrating the evaluation standard according to the data distribution, objective screening and continuous iteration of the knowledge content are realized, and the accuracy and reliability of the knowledge base content are improved.

This invention provides a method, apparatus, device, and medium for quality control of multi-departmental early warning information content. The method includes: receiving early warning information messages, parsing and obtaining a unique department index; matching an appropriate early warning word segmentation model container service for the corresponding department using the department index; extracting the early warning content and title, and matching the applicable release and handling stage according to the rule attributes of the quality control rule set in the early warning word segmentation model container service of the corresponding department; executing all quality control rules in the quality control rule set to obtain the processing result of each quality control rule; determining whether there are any non-compliance identifiers in the quality control result set; if so, blocking the release and integrating and outputting the non-compliance with the quality control rule description; otherwise, proceeding to the matched release and handling stage. This invention can provide unified content control for various early warning information from multiple departments without requiring each department to develop its own control system for early warning information content.