Building and Optimizing a LLaMA-Based Chatbot for Academic Support
Aditya Wanve
Student, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India
Siddhesh Raskar
Student, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India
Anisha Shende
Student, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India
Aditya Patil
Student, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India
Anuratan Bahadure
Student, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India
Manisha Mali
Professor, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India
ABSTRACT:
This study explores a chatbot developed using the LLaMA framework, specifically tailored to address academic queries at VIIT. To generate contextually appropriate responses, the system integrates information from MongoDB using a combination of embedding techniques and tools from Hugging Face. By leveraging MongoDB, the chatbot retrieves relevant institute-related information and produces clear and coherent answers through carefully fine-tuned LLaMA models. To evaluate the effectiveness of different models in delivering accurate and pertinent responses, a comparative analysis is conducted. This chatbot aims to assist students in real-time, enhancing communication with the institution and facilitating a smoother, more efficient user experience.
Published in: International Journal of Research in Engineering, Science and Management (Volume 7, Issue 11, November 2024)
Page(s): 52-56
Date of Publication: 28/11/2024
Publisher: IJRESM
Cite as: Aditya Wanve, Siddhesh Raskar, Anisha Shende, Aditya Patil, Anuratan Bahadure, Manisha Mali, “Building and Optimizing a LLaMA-Based Chatbot for Academic Support,” in International Journal of Research in Engineering, Science and Management, vol. 7, no. 11, pp. 52-56, November 2024.