The resulting outcome is that you have A.I. systems that have learned what it means to solve a problem that takes quite a while and requires them running into dead ends and needing to reset themselves ...
10h
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 ...
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