10). LLM2LLM – an iterative data augmentation strategy that leverages a teacher LLM to enhance a small seed dataset by augmenting additional data that can be used to effectively fine-tune models.
LLM2LLM: Iterative Data Augmentation Strategy for Model Fine-tuning
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