Meta AI Researchers Propose MEGABYTE: A Multiscale Decoder Architecture that Enables End-to-End Differentiable Modeling of Sequences of Over One Million Bytes

Million-byte sequences are common as music, picture, and video files frequently have several megabyte sizes. However, because of the quadratic cost of self-attention and, more significantly, the expense of large feedforward networks per position, large transformer decoders (LLMs) normally only require a few thousand tokens of context. This significantly reduces the range of tasks for […]

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