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Yale U & Google’s HyperAttention: Long-Context Attention with the Best Possible Near-Linear Time Guarantee
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In a new paper HyperAttention: Long-context Attention in Near-Linear Time, a research team from Yale University and Google Research presents HyperAttention, an approximate attention mechanism not only offers practical efficiency but also delivers the best near-linear time guarantee for long contexts processing.
The post Yale U & Google’s HyperAttention: Long-Context Attention with the Best Possible Near-Linear Time Guarantee first appeared on Synced.
ai artificial intelligence attention attention mechanisms context deep-neural-networks efficiency google google research linear machine learning machine learning & data science ml near paper practical processing research research team team technology transformers university yale university