fine-tuning파인튜닝
Training an existing AI model further for a specific purpose.
You train a general model on extra examples from a particular field so it gets better at a tone, a format or specialized tasks.
RAG tends to suit information that changes often; fine-tuning suits teaching a consistent format or voice.
For example
Training a model on past support conversations so it answers in your company's voice.