The attention mechanism revolutionizes how inputs are processed in AI, allowing for dynamic responses based on context. Unlike traditional models that apply fixed weights, transformers adapt their computations through two distinct pathways influenced by the inputs. This flexibility enables models to interpret concepts—like a rainbow—through various lenses, enhancing their understanding and response capabilities.
