Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...
The success of real-time digital systems comes from optimizing processing for the most important tasks rather than speeding up overall execution.
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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 ...
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