Fine-Tuning

The process of taking a pre-trained model and continuing to train it on a smaller, more specific dataset to adapt it to a particular task or domain. Fine-tuning lets you build on the broad knowledge already encoded in a large foundation model without training from scratch, and is the most common way organizations customize general-purpose models for their specific needs.
See also: foundation model, pre-training, reinforcement learning from human feedback.