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DOI Prefix: 10.47001/IRJIET
Vol 8 No 10 (2024): Volume 8, Issue 10, October 2024 | Pages: 59-61
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 10-10-2024
This paper presents a proposal for the design and implementation of a chatbot for the website of the College of Computer Science and Mathematics at the University of Mosul. The chatbot uses a Large Language Model (LLM) supported by Retrieval Augmented Generation (RAG) technology, the first of its kind at the university. This innovative approach to designing the chatbot combines the strengths of pre-trained language models and RAG technology, enabling the chatbot to generate informative and accurate responses to a wide range of user inquiries. The chatbot is designed to provide immediate support and act as a virtual assistant for students, faculty, staff and visitors to the college website. It covers various topics related to the College of Computer Science and Mathematics at the University of Mosul, including faculty profiles, research activities, events, academic programs, admission requirements and other college-related matters.
Chatbot, Hallucination, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Natural Language Processing (NLP)
Ban Sharief Mustafa, & Yusuf Ersayyem Madhi. (2024). LLM and RAG Powered Chatbot for the College of Computer Science and Mathematics at the University of Mosul. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(10), 59-61. Article DOI https://doi.org/10.47001/IRJIET/2024.810010
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