现代信息科技2025，Vol.9Issue(10)：170-175,6.DOI:10.19850/j.cnki.2096-4706.2025.10.031
基于模型微调融合RAG的FPSO生产流程智能问答系统
Intelligent Question-answering System for FPSO Production Process Based on Model Fine-tuning Integrated with RAG
吴斌峰 1董海杰 2孙恪成 2刘雪松 2刘东辉2
作者信息
- 1. 中海油能源发展股份有限公司采油服务深圳分公司,广东 深圳 518054
- 2. 中海油能源发展股份有限公司采油服务分公司,天津 300452
- 折叠
摘要
Abstract
In recent years,Large Language Models have gradually gained widespread application by virtue of their powerful text generation and comprehension capabilities.However,although Large Language Models possess strong general abilities,the phenomenon of"hallucination"still exists in the professional knowledge domain.Based on the professional knowledge base of offshore platforms,this paper utilizes Retrieval-Augmented Generation and efficient parameter fine-tuning methods to construct an intelligent question-answering system under process steady state based on a Large Language Model of vertical knowledge domain.Compared with General Large Language Models,Large Language Models of vertical knowledge domain focus more on downstream tasks in specific domains and possess higher professionalism and practicality.关键词
检索增强生成/机器学习/微调/智能问答/大模型Key words
Retrieval-Augmented Generation/Machine Learning/fine-tuning/intelligent question-answering/Large Language Model分类
信息技术与安全科学引用本文复制引用
吴斌峰,董海杰,孙恪成,刘雪松,刘东辉..基于模型微调融合RAG的FPSO生产流程智能问答系统[J].现代信息科技,2025,9(10):170-175,6.
