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Mini toolsPerceiver IO
Perceiver IO is a DeepMind architecture designed to handle many kinds of data by mapping large input arrays through a compact latent array and then producing flexible output arrays. Its global attention approach lets it scale to large inputs and outputs while generalizing across modalities and task formats.
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Overview
Perceiver IO is DeepMind’s modality-general architecture for mapping arbitrary input arrays to arbitrary output arrays at scale.
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Last updated: June 2, 2026
