Intelligent Teaching Assistant System of Computer Systems Course Based on Large Language Model

As a core course of computer science and technology, computer systems have the characteristics of strong theoretical foundation and high degree of abstraction. This paper focuses on the difficulties in the teaching process of computer systems courses, and designs and implements a teaching assistant system based on large language models. The system utilizes large model fine-tuning and multi-model collaboration technologies to improve the accuracy of question answering. Simultaneously, the system supports natural language question answering, teaching content retrieval, and other functions, which effectively enhance teaching efficiency and students' autonomous learning abilities. Experimental results demonstrate that the system exhibits good usability in actual question answering scenarios, providing practical references for the implementation of large models in educational settings.