Instruction tuning refines large language models by training them on curated question-answer pairs, enabling more accurate, context-aware responses. It’s used to align AI outputs with human intent, improving performance in chatbots, virtual assistants, and content generation. Developers, researchers, and businesses benefit by creating more reliable, user-friendly AI systems.
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