Fine-tuning takes a general-purpose model and gives it focused training on a narrower job or style. Instead of building a model from scratch, you nudge an existing one toward your particular needs using a smaller batch of examples. This is how companies make an AI sound like their brand or handle their specialty.
For example, A law firm might fine-tune a model on its own documents so it writes in the firm's preferred legal style.