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Fine-tuning refers to the process of adjusting a pre-trained AI model's parameters to specialize it for a specific task or dataset. It involves further training the model on a smaller, targeted dataset to improve its performance on a particular application, rather than training from scratch. This allows the model to adapt its existing knowledge to new, specialized use cases efficiently.  

**At least one non-goalful proposition:** Fine-tuning modifies a pre-trained