The transformer’s encoder doesn’t just send a final step of encoding to the decoder; ... Transformers have a versatile architecture that can be adapted beyond NLP.

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.

Transformer architecture (TA) models such as BERT (bidirectional encoder representations from transformers) and GPT (generative pretrained transformer) have revolutionized natural language processing ...

AI researchers have unveil the Energy-Based Transformer (EBT), a new AI architecture for 'System 2' reasoning that promises ...

Essential AI Labs Inc., a startup led by two co-inventors of the foundational Transformer neural network architecture, today announced that it has raised $56.5 million from a group of prominent backer ...

An illustration of a Switch Transformer encoder block. Image courtesy of the researchers. The Googlers built the Switch Transformers on the back of its own T5 models (introduced in 2019), powered them ...

Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection AI, an approach they claim streamlines the creation of ...