Fine tuning adapts a pre-trained AI model to a specific task using a smaller, targeted dataset. It refines existing knowledge, boosting performance for niche applications like medical diagnosis or customer support chatbots. Developers, data scientists, and businesses benefit by achieving high accuracy without training from scratch, saving time and computational resources.
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