Transformers: The Architecture That Powers Modern AI

The Transformer architecture, introduced by Google in 2017, replaced RNNs and LSTMs by using only attention mechanisms, enabling parallel processing and handling long-range dependencies. It now powers models like GPT-4, Claude, and DALL-E. This article is part one of a series explaining the core architecture and its components.