Fine-tuning updates a base model’s weights with input and target-output examples. It can reinforce a recurring format or domain style, but it is not a substitute for a store of frequently changing facts.
The demo compares base and adapted outputs for the same input. In practice, use a held-out evaluation set to check improvement and overfitting.
When to use
Use it when representative examples exist and prompting alone does not make a recurring behavior reliable.