Miles Framework for Composable PyTorch-Native LLM RL Post-Training
July 1, 2026
Miles provides a PyTorch-native stack specifically for LLM reinforcement learning post-training. It focuses on increasing composability and scalability for large-scale RL workflows.
HOW THIS AFFECTS YOU
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builderYou can use this to standardize your RL post-training pipelines using native PyTorch components.
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researcherIt allows for more reproducible experimentation when testing new RL algorithms.