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Most teams training RL agents optimize for tokens per second. For RL, that's the wrong number to chase. So we rebuilt our backend around trajectories per second. š„ Meet AOM, a Megatron backend for our open-source library ART, with 12X the throughput of our old Unsloth backend. https://t.co/PmFG0anqsf
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