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Transforming our understanding of Transformers, this work reveals that learnability may be as crucial as expressivity in optimizing large language models.
Forget simply scaling width – stacking layers unlocks exponentially more memory capacity in RNNs, and multiplicative interactions are key to their expressive power.
