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and order is essential in auto-regression.Computational constraints force users of Transformers to either truncate the inputs to the model (preventing it from observ- ing many kinds of long-range patterns) or restrict the depth of the model (denuding it of the expressive power needed to model complex patterns).

rather than being limited to a specific kind of input.As the input data grows longer.the team goes one further and inserts order into the Perceiver to make it capable of that auto-regressive function.

The innovation of the original perceiver was to take the Transformer and tweak it to let it consume all kinds of input.becomes a kind of more-efficient engine for attention.

Each output is supposed to be a product of what came before it.

achieving a host of outputs with all kind of structure.You can also look up words or get more info on certain topics just circle it with your finger.

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