How models work

What is Fine-tuning?

Further training an existing AI model on a smaller, specific dataset so it gets better at one style or task.

A general model knows a little about everything. Fine-tuning teaches it a speciality — a brand's writing voice, a medical vocabulary, a particular art style — by training it further on examples of exactly that.

For most people, good prompts and examples inside the prompt get you 80% of the way without fine-tuning. Fine-tuning makes sense when you need the same specialised behaviour thousands of times.

In image AI

Training a small add-on (a LoRA) on 20 photos of a product so the model can place that exact product in new scenes.

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