Home/Glossary/Attention Mechanism

Architecture

What is Attention Mechanism?

The core component of transformer models that allows the AI to weigh the relevance of different parts of the input when generating each output token. Self-attention enables models to understand context across long passages. Longer context windows require more attention computation, which is why prompt processing speed matters on Apple Silicon.

Browse all 81 models in the index →

Related terms

All 37 terms in the LLMCheck glossary →