Unverified50% confidenceFactExact time
Flame abstracts the training loop into multiple independently scalable Python services, where the vLLM executor generates trajectories, PyTorch trainer replicas use group relative advantages to update the policy, and the object cache handles the transfer of batches and weight updates.
1
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50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
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