基于大语言模型的Linux课程问答系统  

Linux Course Question Answering System Based on Large Language Models

作　　者：郭东[1] 黄光强 刘颖[2] GUO Dong;HUANG Guangqiang;LIU Ying(College of Computer Science and Technology,Jilin University,Changchun 130012,China;Public Computer Education and Research Center,Jilin University,Changchun 130012,China)

机构地区：[1]吉林大学计算机科学与技术学院,长春130012 [2]吉林大学公共计算机教学与研究中心,长春130012

出　　处：《吉林大学学报（理学版）》2024年第6期1370-1376,共7页Journal of Jilin University:Science Edition

基　　金：吉林省科技发展计划重点研发项目(批准号:20230203037SF);吉林省高等教育教学改革重点项目/吉林大学本科教学改革研究重点项目(批准号:2021XZD038).

摘　　要：基于国产主流大语言模型,设计一个Linux课程知识问答系统.该系统结合检索增强技术,能根据人类反馈持续学习,有助于解决Linux课程教学中如何更有效辅助学生学习的问题.实验结果表明,该系统提高了大语言模型回答的事实性,能有效回答学生提问.此外,该系统以较低成本积累了以自然语言形式呈现的专业领域知识库,降低了教师教学资料搜集整理的工作量.Based on a domestic mainstream large language model,we designed a question answering system for the Linux course.This system,combined with retrieval enhancement technology,could continuously learn from human feedback,which helped to solve the problem of how to more effectively assi st students’learning in the Linux course teaching.Experimental results show that the system improves the factuality of answers provided by the large language model a nd can effectively answer students’questions.In addition,the system accumulates a professional domain knowledge base presented in the form of natural language at a lower cost,reducing the workload of teachers in collecting and organizing teaching materials.

关 键 词：LINUX课程 大语言模型 持续学习 问答系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]