/RAG-Gemini-linkchatbot

A RAG-powered chat application using Gemini Pro, FastAPI, and Streamlit. This tool enhances conversations by integrating link content, providing a seamless backend with FastAPI, and an interactive frontend with Streamlit.

Primary LanguageJupyter Notebook

Gemini Pro Chat: RAG-Powered Conversations with FastAPI and Streamlit

This project guides you through building your first LLM (Large Language Model) application. It covers essential steps such as focusing on a specific problem, choosing the right LLM, customizing the model, setting up the app’s architecture, and conducting online evaluations. Ideal for developers looking to leverage AI for creating innovative solutions. Explore techniques like in-context learning, RLHF, and fine-tuning to tailor LLMs to your needs1. Join us in experimenting with open-source tools and models to build impactful AI-powered applications.

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