Reference in Fine-tuning & Model Customization
Reference is a chapter of the free Fine-tuning & Model Customization tutorial with 1 lesson: Cheat Sheet.
Use it before you agree to fine-tune, while you build the data, and after you ship.
Each section names the lesson that teaches it, so you can go back for the animations and exercises.
Simple lesson: fine-tuning changes behaviour. RAG supplies knowledge. Most teams should not fine-tune yet.
Use it as a quick reference while you work through the course, and come back to it when you need to check a name, a rule or a pattern in Fine-tuning.
What each lesson covers:
- Cheat Sheet: Every idea from Fine-tuning & Model Customization on one page: the gap types and ladder, training terms and curve shapes, data cleaning, methods and settings, before/after evals, distillation, maintenance and the decision record. Topics: Fine-tuning Cheat Sheet, Should You Fine-tune?, How Training Works, Data, Formatting Traps and The Starter Kit.
Lessons in this section
- Cheat Sheet
Every idea from Fine-tuning & Model Customization on one page: the gap types and ladder, training terms and curve shapes, data cleaning, methods and settings, before/after evals, distillation, maintenance and the decision record.