Standard transformer architecture consists of three main components - the encoder, the decoder and the attention mechanism. The encoder processes input data to generate a series of tokens, ...

Learn With Jay. Transformers’ Encoder Architecture Explained — No Phd Needed! Posted: May 7, 2025 | Last updated: May 7, 2025. Finally understand how encoder blocks work in transformers, with ...

The Transformer architecture is made up of two core components: an encoder and a decoder. The encoder contains layers that process input data, like text and images, iteratively layer by layer.

The encoder and decoder are lightweight models. The encoder takes in raw input bytes and creates the patch representations that are fed to the global transformer.