Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...
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.
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 ...
Pretrain and train models for warm dense hydrogen or deuterium Compute equation of state for hydrogen in warm dense matter region Visualize results and compute Hugoniot curves If you use this code in ...
Abstract: Aerospace self-lubricating bearings are critical components in aircraft transmission systems, where wearinduced degradation under high-load and dynamic conditions poses significant ...
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