LLM Reference
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instruction tuning

Instruction tuning is a supervised fine-tuning process where an LLM is trained on datasets of instructions paired with desired responses to enhance its ability to follow user directives.

Category
Not classified
Difficulty
Not classified
Aliases
None tracked
Last reviewed
2026-07-02

Key facts

  • It bridges pre-training and advanced alignment by teaching the model to interpret natural language prompts as actionable commands.

Models Mentioning instruction tuning(7)