Attention Mechanism

Attention helps models focus on important relationships across a sequence rather than treating every input element equally. It is a central component of transformer architectures and enables language models to connect information across words, tokens, images, and other inputs. In practical applications, it often interacts with prompting, retrieval, model serving, guardrails, and evaluation rather than operating as a standalone model call.