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🤖 A modern AI chat assistant powered by Meta's Llama models with real-time web search capabilities, built using React, FastAPI, and Cloudflare AI
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.
This project allows you to convert Llama model weights to the Hugging Face format, making it easier to work with Llama models in various applications.