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Achieving coupled-cluster accuracy for molecular properties with the computational cost of a single DFT calculation could revolutionize molecular modeling in chemistry.
Multi-round LLM inference gets a major speed boost with AMPD, a new disaggregated serving framework that intelligently manages interleaved prefill-decode workloads.
