Continuing to train an existing model on a smaller, more specific dataset to change its behaviour.
The right tool for changing how a model responds — its format, tone, or the task it assumes. The wrong tool for giving it facts it does not have, which is what retrieval is for. Confusing the two is the most common and most expensive mistake in applied work.
