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 — image, video, or language.
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 — then run it as a dependable part of your operation.
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.
- Can you fine-tune more than image and video models?
- Yes. The same bench tunes language models for the AI systems we build — see Build for that side of the work.