Definition
An additional training phase that adapts a pretrained model by updating some or all parameters using task- or domain-specific data.
Distinguish it from nearby terms
Fine-tuning changes weights; prompting, retrieval, and tools change runtime inputs or capabilities.
Check your understanding
Fine-tuning may improve a target behavior while degrading others, so it still requires evaluation.