What is Fine-tuning?
Fine-tuning
A. What is Fine-tuning
Retraining an existing AI model on additional data to optimize it for a specific use. It is used to adapt models to specialized domains or a particular writing style.
Fine-tuning is a technique that takes a pre-trained model and trains it further on a specific task or proprietary data, raising its performance for the intended use.
It is effective for industries with heavy jargon, or for adapting to a distinctive writing style or answering policy. That said, RAG or careful prompting is often enough to supply context more easily, so you should weigh cost against benefit when choosing.