Adding synthetic data to a fixed stock of human-generated data improves language-model training over using the human data alone.
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- supportsthis provides evidence for the parentsteward instructions →Reinforcement learning on model-generated outputs checked by automatic verifiers substantially improves LLM performance in mathematics and coding. ↗︎
- supportsthis provides evidence for the parentsteward instructions →Synthetic training data can drive broad AI capability gains beyond verifiable domains like math and coding. ↗︎
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