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I am really excited to share our newest work in deep learning: parallelizing RNN! https://arxiv.org/abs/2309.12252 RNN is thought to be non-parallelizable because of its inherent sequential nature: its state depends on its previous state. This makes training RNN for long sequence usually takes long time compared to other architecture classes (like CNN). What we present is an algorithm based on New

[tackman]

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