Attention mechanisms are the cornerstone of modern large language models (LLMs), underpinning their ability to process and generate human-like text. Introduced in the 2017 paper "Attention is All You Need" by Vaswani et al., the transformer architecture replaced recurrent neural networks (RNNs) with attention-based mechanisms, enabling parallel computation and direct modeling of relationships between tokens.