Effective communication within universities is crucial for addressing the diverse information needs of students, alumni, and external stakeholders. However, existing chatbot systems often fail to deliver accurate, context-specific responses, resulting in poor user experiences. In this paper, we present KatzBot, an innovative chatbot powered by KatzGPT, a custom Large Language Model (LLM) fine-tuned on domain-specific academic data. KatzGPT is trained on two university-specific datasets: 6,280 sentence-completion pairs and 7,330 question-answer pairs. KatzBot outperforms established existing open source LLMs, achieving higher accuracy and domain relevance. KatzBot offers a user-friendly interface, significantly enhancing user satisfaction in real-world applications. The source code is publicly available at \url{https://github.com/AiAI-99/katzbot}.
@article{arxiv.2410.16385,
title = {KatzBot: Revolutionizing Academic Chatbot for Enhanced Communication},
author = {Sahil Kumar and Deepa Paikar and Kiran Sai Vutukuri and Haider Ali and Shashidhar Reddy Ainala and Aditya Murli Krishnan and Youshan Zhang},
journal= {arXiv preprint arXiv:2410.16385},
year = {2024}
}