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FlashAttention 2: making Transformers 800% faster w/o approximation - with Tri Dao of Together AI

Latent Space: The AI Engineer Podcast

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Revolutionizing Attention: FlashAttention and Its Innovations

This chapter explores the evolution of FlashAttention, highlighting its advantages in improving the efficiency of attention mechanisms in AI models. It covers the transition from traditional quadratic scaling to the innovative linear scaling of FlashAttention, which allows for handling longer sequences more effectively. The discussion also emphasizes the importance of memory management and the integration of traditional computer science techniques to optimize attention mechanisms in modern machine learning.

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