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Data recycling and filtering improves instruction-tuning of LLMs, leading to recycled LLMs outperforming other larger LLMs trained on new data and RLHF. We release Reflection-Tuning preprint, codebase, and the model.
Data recycling and filtering improves instruction-tuning of LLMs, leading to recycled LLMs outperforming other larger LLMs trained on new data and RLHF. We release Reflection-Tuning preprint, codebase, and the model.