Perceiver 🎁 👑

The is a general-purpose neural network architecture developed by Google DeepMind designed to process a wide variety of data types—including text, images, audio, and video—without needing domain-specific adjustments.

: The model uses a small set of "latent" variables to attend to the much larger input text. This "cross-attention" step decouples the depth of the network from the size of the input, making it much faster for long documents. perceiver

: It makes no prior assumptions about the structure of text, applying the same attention mechanisms it would use for an image or audio file. perceiver