Fine-Tuning

Short answer

Fine-tuning is further training an existing AI model on a specific dataset to adapt it to a particular task, domain or brand voice. It can improve consistency and specialized performance beyond what prompting alone achieves, but it requires quality training examples, ongoing evaluation and usually more cost and effort than prompt-based approaches.