With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
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Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Pope Leo to tour four African countries in first major overseas trip of 2026 Pope Leo will visit four countries across Africa from April 13-23, the Vatican announced on Wednesday, with the pontiff ...
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