Fine-tuning is further training an existing AI model on a smaller, specialized dataset so it performs better on a specific task or in a particular domain. Instead of building a model from scratch, you adapt one that already understands language or images. For example, a company might fine-tune a general model on its support tickets so it answers customer questions in the right tone and terminology.
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