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  "text": "Thank @_akhaliq  so much for posting our work Flash-Kmeans! In the era of generative AI, efficiency research has largely focused on accelerating modern model architectures such as LLMs. \n\n🤔However, if we step back and revisit the broader AI system stack, many classical algorithms still remain indispensable components in real-world pipelines. One prominent example is k-means clustering, a decades-old algorithm that has supported recommender systems, computer vision pipelines, large-scale indexing, and representation learning for many years. We revisit this classical algorithm through the lens of modern AI systems design and introduce Flash-kmeans, transforming a historically offline component into a real-time primitive that enables online applications.😎\n\nThis great work is led by talent @randwalk0 and @HaochengXiUCB",
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