Introduction-to-LLM-and-RAG
Course material:
Wooclap
Teacher:
Xavier CORBIER
Table of contents
Session 1: Introduction to Large Language Models (LLMs)
Part 1: Overview of Language Models
Part 2: Introduction to Responsible AI
Part 3: Safety & Fairness Considerations for Generative Models
Session 2: Working with Large Language Models
Part 1: Prompt Engineering
Part 2: Getting Started with ChatGPT
Part 3: The Top 10 ChatGPT alternatives to ChatGPT
Session 3: Developing with Generative AI Models
Part 1: Getting Started with Hugging Face
[
Notebook Version
]
Part 2: Fine tuning LLM
[
Notebook Version
]
Part 3: What is Retrieval-augmented generation (RAG)
Labs:
Exploring Prompt Engineering Techniques
[
Français
]
For further exploration
Github: Your ultimate resource for LLM
Datacamp: AI fundamentals
Microsoft: Career path engineer AI
References
Google: Getting started with Machine learning
Stanford: Getting Started with ChatGPT
Datacamp: The Top 10 ChatGPT Alternatives You Can Try Today
FreeCodeCamp: How to Get Started with Hugging Face
Datacamp: Fine tuning LLM
Nvidia: What Is Retrieval-Augmented Generation, aka RAG?