RAG and Fine-Tuning Explained
Offered By: LinkedIn Learning
Course Description
Overview
This course breaks down the AI concepts Retrieval Augmented Generation (RAG) and fine-tuning to explain how they factor into building robust enterprise applications.
Syllabus
Introduction
- RAG, fine-tuning, and the enterprise
- How LLMs work
- Context makes all the difference
- RAG: Retrieval Augmented Generation
- The RAG flow
- Embeddings: Helping AI understand data
- Knowledge graphs
- Fine-tuning
- RAFT: RAG with fine-tuning
- Tying it all together
Taught by
Morten Rand-Hendriksen
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent