Perceiver -

Unlike standard Transformers, which face high computational costs as input size increases, the Perceiver uses a to efficiently handle large amounts of data. How the Perceiver Works with Text

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. perceiver

The Perceiver treats text as a sequence of raw bytes rather than traditional word-level tokens, allowing it to understand the meaning of text directly from its individual characters. Unlike standard Transformers

Following the original model, several specialized versions were released: several specialized versions were released: