Machine learning architectures with sub-quadratic iterator modules
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United States of America
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Apr 1, 2025
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Jul 23, 2024
filing date -
Jul 23, 2024
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Abstract
Technology that includes receiving one or more inputs representative of an input sequence, and passing the one or more inputs sequentially through a plurality of modules of a machine learning model. Each module of the plurality of modules includes weights used for processing the one or more inputs to generate one or more outputs, and at least one of the plurality of modules is an iterator module that feeds back intermediate outputs of the iterator module as inputs to itself one or more times before passing an iterated output to a subsequent module of the plurality of modules. The iterator module has a sub-quadratic computational complexity in relation to a length of the input sequence. The technology also includes outputting the one or more outputs generated by a final module of the plurality of modules.
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