Fine-tuning retrains a finished model with your own examples so it handles a particular style or task better.
Illustration: AI-generated · AI Compare Ninja · CC BY 4.0
Example
An online shop fine-tunes a model on 1,000 of its own product descriptions.
For pros
Fine-tuning changes behaviour but adds little up-to-date knowledge; RAG is better for that. Good prompts or skills are often enough and are cheaper and easier to change.
