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Autoregression is a technique for having a machine use its outputs as new inputs to the program.All that means flexibility of compute: This gives us more control over how much compute is used for a given model at test time and allows us to smoothly trade off speed against performance.

an images RGB channels can be ordered in raster scan order.has this autoregressive aspect.but with a twist that the latent space has causal masking to add the auto-regressive order of a typical Transformer.

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.Lyft is participating in a program funding projects that reduce carbon emissions.

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