ENTITY
MiniMax M2.1 229B
MiniMax M2.1 229B
PulseAugur coverage of MiniMax M2.1 229B — every cluster mentioning MiniMax M2.1 229B across labs, papers, and developer communities, ranked by signal.
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RECENT · PAGE 1/1 · 2 TOTAL
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九章智算云 focuses on training-inference consistency for AI infrastructure
九章智算云 is developing an AI infrastructure system focused on "training-inference consistency" to support the increasing reliance on reinforcement learning (RL) for scaling model capabilities. This system aims to efficient…
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Aurora system unifies RL training and serving for faster LLM inference
Researchers have developed Aurora, a novel system that unifies the training and serving of speculative decoding for large language models. This approach addresses the delays and performance degradation associated with t…