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We study MegaGem, a three-player, general-sum, imperfect-information auction game developed by Jane Street, and train a 4B specialist to play it.
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Modded-nanoGPT speedrunning is a popular benchmark that asks how fast 8xH100s can drive a 124M-parameter model to 3.28 validation loss on FineWeb.
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How do labs train a frontier, multi-billion parameter model?
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LLMs trained on web-scale corpora inadvertently memorize and leak personally identifiable information (PII) present in their training data.
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Can RL agents learn to play spatial reasoning puzzle games as well as, or better than, LLMs?
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RLHF with PPO from scratch and lots of fine-tuning GPT-2 models for movie sentiment classification.