fine-tune

Fine-tuning is the process of further training a pretrained model on targeted datasets to specialize it for specific tasks or behaviors, adjusting weights minimally. It leverages transfer learning for customization without full retraining, creating instruct/chat variants from base models and boosting capabilities.