Fine-tune

Overview

Fine-tuning adapts pre-trained models to specific tasks or domains by training on curated datasets.

What is it?

Additional training of a base model on task-specific data.

Why it matters

Fine-tuning lets you create specialized models that outperform generic ones on your specific use case.

How it works

Start with a pre-trained model, prepare labeled examples, run additional training iterations, and the model learns to perform your specific task better.

Real-World Examples

Tools & Libraries