The (Not-So-Secret) Secret Behind Modern AI: the Transformer

The article explains how Transformers replaced older recurrent models that processed language one word at a time.

Using self-attention, Transformers can look at the full sequence at once, improving context handling, quality, and efficiency.

This architecture powers most modern AI models, including GPT, Gemini, and Claude.

It also shapes practical tradeoffs in latency, parallelization, and product integration across GPUs, TPUs, and frontends.