Discover how transformer architecture revolutionized AI. Learn how attention mechanisms enable GPT, Claude, and other large language models.
More about Transformer Architecture
Transformer Architecture is the foundational neural network design behind all modern large language models including GPT, Claude, and Gemini. Introduced in the landmark 2017 paper "Attention Is All You Need," transformers use attention mechanisms to process entire sequences of text simultaneously rather than word-by-word.
This parallel processing capability, combined with the ability to capture long-range dependencies in text, made transformers dramatically more effective than previous approaches and enabled the creation of today's powerful AI chatbots and language models.
