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What is Fine-tuning?

A plain-English explanation of Fine-tuning (Fine-tuning) — what it means, why it matters, and how it is used in AI.

Fine-tuning
Fine-tuning
Fine-tuning is the process of taking a pre-trained AI model and continuing to train it on a smaller, more specific dataset to adapt its behaviour for a particular task or domain.
"A legal firm fine-tunes a base language model on thousands of legal documents so it becomes better at understanding contracts and legal terminology."

Also known as: Model fine-tuning, supervised fine-tuning, SFT

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Why does Fine-tuning matter?

Fine-tuning is used to create domain-specific AI assistants for medicine, law, finance, and customer service.

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