Transformers Explained: The Architecture Powering Modern AI

Introduced in the landmark paper 'Attention Is All You Need' (2017), transformers replaced recurrent networks and became the foundation for GPT, BERT, Llama, and Stable Diffusion.

The self-attention mechanism allows the model to weigh the importance of different words in a sequence regardless of their distance, solving the long-range dependency problem.