Transformer
The neural network architecture behind modern LLMs, using self-attention to process all tokens in parallel.
Introduced in the 2017 paper "Attention Is All You Need," it replaced recurrent networks and enabled training at massive scale. Nearly every well-known LLM today is a Transformer variant.