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

Transformers contain several blocks of attention and feed-forward layers to gradually capture more complicated relationships. The task of the decoder module is to translate the encoder’s ...

Originally introduced in a 2017 paper, “Attention Is All You Need” from researchers at Google, the transformer was introduced as an encoder-decoder architecture specifically designed for ...

The original vision transformer used 16×16 patches as tokens, but other sizes are possible. Once tokenized, any form of data can be converted to embedding vectors and fed through an encoder and ...

The key to addressing these challenges lies in separating the encoder and decoder components of multimodal ... for visual data and transformer-based architectures for audio and text.

It can also detect the spoken language and translate it to English. OpenAI describes Whisper as an encoder-decoder transformer, a type of neural network that can use context gleaned from input ...