Quick definition · 2 min AI term
Fine-tuning
Fine-tuning is taking a general model and training it a bit more on your own examples so it specializes.
Think of it like
Hiring a skilled generalist, then giving them a week of training on how your company specifically does things.
Example
Fine-tune a model on thousands of your support tickets and it starts answering in your brand voice and policies.
Why it matters
It is a major AI term, and it is often confused with prompting or RAG. Fine-tuning changes the model; the others just feed it context.
Where you’ll see it
OpenAI APIHugging Face