Viewing enriched Twitter post
I am excited to open-source PipelineRL - a scalable async RL implementation with in-flight weight updates. Why wait until your bored GPUs finish all sequences? Just update the weights and continue inference! Code: https://t.co/AgEyxXb7Xi Blog: https://t.co/n4FRxiEcrr https://t.co/DkjI9Snz9g
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"full_text": "In-flight weight updates are a spicy way to do RL inference at a constant batch size, bounded just by your GPU memory. So your GPU utilization gets higher. And your tokens are more on-policy.\n\nWhy spicy? Because inference continues with stale KV cache from an older model. 😱😱😱",
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"full_text": "But rest assured. In-flight weight updates cause no harm. We get great math reasoning results with simplified GRPO. Start from the base model, no value function, no KL, no entropy bonus, no overlong filtering, no trust region clamping, binary rewars. It just works! https://t.co/GaFNUsQyzu",
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