Réglage par instruction
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Instruction Tuning
The main difference between instruction tuning and standard supervised fine-tuning lies in the data that the model is trained on. Whereas supervised fine-tuning trains models on input examples and their corresponding outputs, instruction tuning augments input-output examples with instructions, which enables instruction-tuned models to generalize more easily to new tasks.
Contributeurs: Marie Alfaro, wiki