Scene 06 · Train
Model Fine-Tuning
Full-parameter fine-tuning that reshapes a base model around your domain, for when a lightweight adapter is not enough.
Some jobs need more than an adapter: a specialized domain, an unusual style, behavior a base model resists. We fine-tune deeper and reshape the model itself.
More involved, and worth it when you need the model to default to your way of doing things rather than lean toward it.
Questions
- When do I need fine-tuning instead of a trained adapter?
- When an adapter gets close but never quite there. We will tell you honestly which one your job needs.