Fine-tuning

Think of it like customizing a general-purpose AI to fit your exact needs. For example, you might fine-tune a model on your company’s customer service chats so it replies in your brand’s tone and language. Or you could train it on medical texts to help it answer healthcare questions more accurately. Want a tutoring assistant? Fine-tune it on educational content for a specific grade level so it explains things in an age-appropriate way.

This process tweaks the model’s internal settings (called weights) to make it more effective for your specific use case without losing the broad knowledge it picked up during its original training.

If you’re curious about the technical side, this deep dive explains how fine-tuning works under the hood.