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RNNs Match Transformer Memory Without Quadratic Cost

Huge! Recurrent neural networks could match Transformer memory without the quadratic burden! Ali Behrouz from Google and colleagues have cracked it! They present Memory Caching (MC), a simple yet powerful method that lets RNNs store "memory checkpoints" of their internal

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