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The Transformer architecture has revolutionized deep learning through its Self-Attention mechanism, which effectively captures contextual information. However, the memory footprint of Self-Attention presents significant challenges for long-sequence t
Externí odkaz:
http://arxiv.org/abs/2408.08454
