Skip to content
mlmentorship

Book IV · Chapter 6

Fine-tuning and retrieval-augmented generation

Choose adaptation or retrieval, then design and evaluate the resulting system.

Priority
Role-specific
Difficulty
Intermediate
Useful for
AS, MLE, LLM engineer
Interview rounds
LLM systems, ML design

Read first: Transformer architecture and attention

Chapter contents

5 entries · read in order
  1. 01
    RAG: retrieval-augmented generation
    Concept
  2. 02
    When would you fine-tune vs prompt vs RAG?
    Question
  3. 03
    Fine-tuning vs prompting: the deep version
    Question
  4. 04
    Design a RAG system for legal documents
    Question
  5. 05
    Designing a RAG system that actually works
    Guide