π Step 9: AI/LLM#272 / 291
Fine-tuning
Fine-tuning
πOne-line summary
Further training a pre-trained model on domain data to specialize it.
π‘Easy explanation
Further training an already-trained model on your own data so it fits your taste. Like retraining a generalist chef on your restaurant's menu.
β¨Example
Pre-trained model
Our data
β
Domain-specialized model
β‘Vibe coding prompt examples
>_
Define a JSONL fine-tuning dataset format for internalizing customer-support reply tone, with guidance for 100 samples.
>_
Draw a decision tree for choosing OpenAI fine-tuning vs. Anthropic fine-tuning vs. RAG.
>_
Lay out a regression-test procedure for evaluating a fine-tuned model against the base model.
Try these prompts in your AI coding assistant!