Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

VentureBeat
Feb 23, 2026, 12:00 pm64 pts
As agentic AI workflows multiply the cost and latency of long reasoning chains, a team from the University of Maryland, Lawrence Livermore National Labs, Columbia University and TogetherAI has found a way to bake 3x throughput gains directly into a model's weights. Unlike speculative decoding, which requires a…

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