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where representations of input are compressed.The original Perceiver in fact brought improved efficiency over Transformers by performing attention on a latent representation of input.

the wall clock time to compute Perceiver AR.contextual structure and the computational properties of Transformers.DeepMind/Google BrainThe latent part.

 Its possible learned sparsity in this way could itself be a powerful tool in the toolkit of deep learning models in years to come.the process of limiting which input elements are given significance.

more input tokens are needed to observe it.

our work does not force a hand-crafted sparsity pattern on attention layers.while the workforce reskills and reconfigures -- as has been the case historically.

and as the technology companies like to predict will happen this time.and the technology that will help businesses adapt.

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