Intelligent question answering system construction method and system based on LLM large language model

Through the intelligent question-answer system construction method based on the LLM large language model, the problem that existing systems cannot effectively understand user intentions and meet diversified needs is solved, and a high accuracy and correlation question-and-answer system is realized, which promotes the development of intelligent question-and-answer technology.

CN119691140AInactive Publication Date: 2025-03-25HANGZHOU BYTE ARK TECH CO LTD
6 Cites 19 Cited by

Patent Information

Application Number
CN202510213588.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-26
Publication Date
2025-03-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing intelligent question-answer system cannot effectively understand the user's question intentions and the deep meaning of the text, resulting in the limitation of the accuracy and relevance of the answers, and the single question-and-answer model cannot meet the diverse needs of users in different fields, especially in professional fields and complex questions.

Method used

The intelligent question-and-answer system construction method based on the LLM large language model is adopted. By aggregating corpus from multiple heterogeneous data sources, dynamically grabbing text data related to the target field, performing preliminary screening and diversity analysis, generating diversified text data, and performing multi-level semantic annotation, the training samples are finally converted into standard format samples for training the LLM large language model.

Benefits of technology

It has effectively improved the intelligence level of the intelligent question-and-answer system in various application scenarios, met the diverse needs of users, improved the accuracy and relevance of answers, and promoted the further development of intelligent question-and-answer technology.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses an intelligent question answering system construction method and system based on an LLM large language model, and the method comprises the steps: carrying out the corpus aggregation from a plurality of heterogeneous data sources, and dynamically capturing the text data related to a target domain; preliminarily screening the text data, and based on semantic similarity and a text quality scoring rule, removing redundant and low-quality text data or text data irrelevant to a target field; performing diversity analysis on the text data, and generating diversified text data with high similarity with real data through an adversarial generation technology; performing multi-level semantic annotation on the text data, and generating a training sample by analyzing context information in the annotated corpus; and converting the training sample into a standard format sample, and training an LLM large language model by using the standard format sample to serve as an intelligent question-answering system of a target domain. By utilizing the embodiment of the invention, the intelligent level of the intelligent question-answering system in various application scenes can be effectively improved, and further development of the intelligent question-answering technology is promoted.
Need to check novelty before this filing date? Find Prior Art