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PostTrainBench

Benchmark for evaluating autonomous post-training of LLMs under compute constraints

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PostTrainBench is a research benchmark that evaluates whether AI agents can autonomously perform post-training on base language models with limited compute budgets. It tests agent capabilities in the critical task of transforming raw LLMs into useful assistants through techniques like instruction tuning and RLHF. Designed for researchers exploring AI-driven AI development and autonomous research agents.

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Integrations
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autonomousevaluationopen-sourcepythonresearch