Why use many different task formats during instruction tuning?
Variety can help the model recognize broader request patterns and adapt to unfamiliar wording. Repeating one narrow format may encourage brittle behavior instead.
Explore This Question
Search for additional explanations using these tools:
More FAQs in How does instruction tuning teach a model to follow user requests?
Often yes. It commonly uses supervised examples containing instructions and target responses, while supervised fine-tuning can also cover tasks without conversational instructions.
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.
Still have questions?
Browse all our FAQs or reach out to our support team