Supervised Fine-Tuning adapts a pre-trained AI model to specific tasks using labeled data. It refines performance by training on curated examples, enhancing accuracy for applications like chatbots or classification. Developers, data scientists, and businesses benefit by tailoring models to niche domains, improving relevance and reliability without building from scratch.
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