Fine-tuning is the process of taking a pre-trained model and training it further on a smaller, specific dataset to adapt it for a particular task or domain, improving its performance in that area.
A standard practice in deep learning transfer learning.
Essential for creating specialized AI assistants for coding, medical advice, or creative writing from general-purpose base models.