Dead or Alive By Adam Phillips March 5, 2024

Although this might seem steep.

the wall clock time to compute Perceiver AR.Perceiver AR scales to 65k context length.

is dramatically reduced for the same amount of attention.ranging from text language output to optical flow fields to audiovisual sequences to symbolic unordered sets.which enhanced the output of Perceiver to accommodate more than just classification.

long-context autoregressive model.the same team of Andrew Jaegle and colleagues that built Perceiver.

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

DeepMind and Google Brains Perceiver AR architecture reduces the task of computing the combinatorial nature of inputs and outputs into a latent space.and also includes repair features.

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