Transformers in Machine Learning: The Architecture That Changed AI Forever

In 2017, Google researchers published "Attention Is All You Need," introducing the Transformer architecture that powers virtually every major AI system today, from ChatGPT to Google Translate. Unlike older models that read text word-by-word and forgot earlier context, Transformers process entire sentences simultaneously using a mechanism called self-attention, letting every word analyze its relationship to every other word, making AI dramatically faster and more accurate.