Skip to main content

Module 7: Fine-Tuning Fundamentals

Customizing LLMs for specific tasks and domains.

Learning Objectives​

  • ✅ Understand full fine-tuning and when to use it
  • ✅ Learn PEFT methods (LoRA, adapters)
  • ✅ Master instruction tuning techniques

Chapters​

  1. Full Fine-Tuning: When to use, compute requirements, dataset preparation
  2. PEFT Introduction: LoRA, adapters, parameter-efficient methods
  3. Instruction Tuning: Format, datasets, quality impact