We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms ...

Transformers are a deep learning architecture that uses tokenized inputs and outputs to connect various topics or entities.

The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.

Transformers enable the computer to understand the underlying structure of a mass of data, no matter what that data may relate to Text is converted to ‘tokens’ – numerical representations of the text ...

Kieran Wood, Sven Giegerich, Stephen Roberts and Stefan Zohren introduce the ‘momentum transformer’, an attention-based deep-learning architecture that outperforms benchmark time series momentum and ...