The Transformer architecture, introduced in the 2017 paper 'Attention Is All You Need,' revolutionized AI. It uses self-attention to process all parts of the input simultaneously rather than sequentially. This enables efficient training on large datasets and powers virtually all modern language models including GPT, Claude, Llama, and Gemini.











