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Forget expensive compression trials – a simple spectral statistic can accurately predict how much your LLM will degrade *before* you even compress it.
Fusing MPC with RL yields safer and more efficient autonomous driving at intersections, outperforming both standalone MPC and end-to-end RL, and surprisingly generalizing better to new scenarios.
Run code LLMs 10x faster and with 6x less memory on your laptop without sacrificing accuracy, thanks to a new quantization and compilation approach.
Dataset distillation can be sped up by 18x on ImageNet-1K without sacrificing accuracy by focusing optimization on high-loss regions.