A gentle introduction to RAG (using open-source models)

Опубликовано: 15 Август 2024
на канале: Underfitted
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Let's break down a simple RAG application to understand how every component works.

If you know a little bit of Python, you'll leave with a complete understanding of how you can use a basic RAG system to answer questions from a PDF document using an LLM.

To make things a bit more interesting, I'm using Llama 3.1 as the LLM that powers the system. Super cool to learn how to use open-source models and run them locally. I'm writing all of the code on Lightning AI Studios which gives me a persistent, virtual IDE and access to GPUs.

Link to the Lightning Studio: https://lightning.ai/svpino/studios/a...

Link to the GitHub repository: https://github.com/svpino/gentle-intr...

I teach a live, interactive program that'll help you build production-ready Machine Learning systems from the ground up. Check it out here:

https://www.ml.school

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