Development of Interactive Assistance for Academic Preparation Using Large Models Language

With the increase in capabilities and availability of large language models, it is inevitable that it finds its way into application in a variety of domains. Education domain has seen remarkable improvements in both efficiency and capabilities with the incorporation of innovative and latest technology to improve the experience for both teachers as well as students and when talking about latest technologies it is impossible to not talk about large language models. Their ability to contemplate huge volumes of data as well as generate human-like responses to queries related to data it possesses has made many industries rethink certain aspects of their workflow to integrate this powerful technology to improve the working efficiency. Education sector can benefit from this technology in various aspects. This project aims to integrate the usage of locally run large language models using Ollama and LangChain to build a conversational platform application for the usage by students for assisted learning. The model also utilizes Retrieval Augmented generation techniques for creating an updated and dynamic large language model. To promote transparency stateof-the-art open-source technologies are preferred rather than closed source technologies like OpenAI's ChatGPT.