Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on Teaching and Research Dialogue Language Model Based on ChatGLM

ZOU Yanni, HE Xueqi

(Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China)

Section:Information Application · Vol. 2025, Issue 4 · Pages:162-166 · 2096-4706(2025)04-0162-05 · CLC number:TP18;TP391 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2025.04.031

Abstract

Based on the open source Large Language Model ChatGLM, a dialogue language model for teaching and research is constructed. Firstly, the basic principles of ChatGLM and its advantages in the field of Natural Language Processing are introduced. Secondly, it discusses how to use ChatGLM to construct a dialogue language model suitable for teaching and research scenarios, including key steps such as model deployment, model fine-tuning, and question answering system construction. Finally, the effect of the constructed model is evaluated, and according to the characteristics of the teaching and research industry, its application in education and scientific research scenarios is explored to achieve the goal of AI enabling teaching and scientific research. The application of Large Language Model in teaching and scientific research and student management work provides new ideas and solutions for improving the efficiency and quality of teachers' work.

Keywords

ChatGLM; teaching and research dialogue; Large Language Model; Natural Language Processing; question answering system

References

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Funding

Young Innovative Talents Program for Ordinary Universities in Guangdong Province in 2023 (2023KQNCX183); 2022 Guangdong Provincial Department of Education Characteristic Innovation Project (2022KTSCX253)

About the authors

Zou Yanni (1994-), female, Han nationality, from Hengyang, Hunan, lecturer, master's degree, research direction: big data technology, information processing; He Xueqi (1995-), female, Xibe ethnic group, from Zunyi, Guizhou, lecturer, master's degree, research direction: intelligent information processing, machine learning.