Fine-tuning
Adapting a pretrained model to a specific task or domain with further training.
Fine-tuning continues training a pretrained model on a smaller, targeted dataset so it specializes for a task, domain, or style. It ranges from full-parameter updates to parameter-efficient methods like LoRA.
It is the standard way to turn a general base model into a focused product model.