How much does deliberately iterative fine-tuning on model outputs tell us about the impact of smaller amounts of generated data making it into larger pre-training datasets?
Iterative Fine-Tuning Impact on Pre-Training Data Contamination
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How much does deliberately iterative fine-tuning on model outputs tell us about the impact of smaller amounts of generated data making it into larger pre-training datasets?