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Instruction Tuning of Large Language Models

Fine-tuning a pretrained language model on a diverse collection of (instruction, response) pairs so that it follows natural-language instructions across many tasks, the supervised stage that precedes preference-based alignment.

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Instruction Tuning for Large Language Models to Follow Specific Tasks in Artificial Intelligence

Instruction tuning is a supervised learning mechanism that bridges the gap between broad language modeling capabilities and specific task execution by optimizing model parameters to align generated o…