With Internet-scale data, the computational demands of AI-generated content have grown significantly, with data centers running full steam for weeks or months to train a single model��not to mention the high inference costs in generation, often offered as a service. In this context, suboptimal algorithmic design that sacrifices performance is an expensive mistake. Much of the recent progress��
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