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Lawrence Livermore National
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Lossy compression can shrink training data size by up to 39x without compromising the accuracy of generative surrogate models, revolutionizing data handling in scientific simulations.
LCLMs redefine the efficiency of long-context inference, achieving superior compression without sacrificing model quality.
