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Kastor reduces forecasting error by nearly 43% while enhancing the physical fidelity of simulations, outperforming traditional methods in both accuracy and efficiency.
Achieving 1,500 tokens per second, DiffusionGemma redefines the speed-capability trade-off in language models, outpacing conventional autoregressive approaches.
RMMD not only accelerates model inference by 7.5x but also outperforms its teacher model on nearly all target weather variables, showcasing a breakthrough in distillation techniques.
