How to use open source LLM model | Free | Groq | Faster Inference

Welcome to our tutorial on implementing open-source Large Language Models (LLM) locally for faster inference using Groq's LPU acceleration! In this video, we'll guide you step by step on how to achieve this using RAG (Retrieval-Augmented Generation) with Chroma DB, Mistrial 7B, Gradio, and Langchain as frameworks.

By following this tutorial, you'll learn how to harness the power of Groq's LPU to accelerate inference speed, making your LLM applications more efficient and responsive. We'll also walk you through setting up RAG with Chroma DB for powerful information retrieval and Mistrial 7B for high-quality language generation.

Additionally, we'll show you how to integrate Gradio for easy and interactive deployment of your LLM models, allowing you to test and showcase your applications seamlessly. Finally, we'll explore using Langchain as a LLM framework

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Download Notebook & PPT:
https://github.com/sainathpawar/groq_llm

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