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Fine-tuning

Adapting a pretrained model to a specific task.

Definition

Fine-tuning is training a pretrained model on a smaller, task-specific dataset. Used to specialize LLMs for a domain or style. More expensive than prompting; usually only worth it for high-volume production use cases.

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