Is instruction tuning a type of supervised fine-tuning?
Often yes. It commonly uses supervised examples containing instructions and target responses, while supervised fine-tuning can also cover tasks without conversational instructions.
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More FAQs in How does instruction tuning teach a model to follow user requests?
No. Application instructions still communicate the current role, constraints, and available tools. Training helps the model interpret such instructions but cannot encode every deployment requirement.
Variety can help the model recognize broader request patterns and adapt to unfamiliar wording. Repeating one narrow format may encourage brittle behavior instead.
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