Query Processing System Using LLM Llama3.1
摘要
In this paper, we discuss the implementation of a campus assistance chatbot that assists students with university-related queries. The chatbot designed to provide complete and detailed answers will help new students, faculty members, parents, or anyone seeking information about the university. Meta's latest large language model, Llama 3.1, is used in the chatbot to deliver quick and accurate responses. Additionally, a cache feature stores frequently asked questions to enhance the user experience. It checks the cache for similar prompts before searching the database to return results faster, thus minimizing query response time. Furthermore, the bot provides query suggestions based on past user interactions; for instance, if a user asks a question about the university, they may later be suggested to inquire about the fee structure or study programs. Like all AI tools, the chatbot can be further improved with user feedback and additional training. Chatbots, now widely used on various social media platforms and online services, make the process of resolving doubts much smoother by providing users with instant access to answers.