What is Attention Mechanism?
How AI models focus on relevant parts of input when generating output.
Definition
Attention allows transformers to weigh the importance of different input tokens when producing each output token. Self-attention enables the model to understand relationships between all parts of the input simultaneously.
Examples
Why It Matters
Attention is why AI can understand context and relationships in text—it's the core innovation behind modern language models.
Related Terms
Common Questions
What does Attention Mechanism mean in simple terms?
How AI models focus on relevant parts of input when generating output.
Why is Attention Mechanism important for AI users?
Attention is why AI can understand context and relationships in text—it's the core innovation behind modern language models.
How does Attention Mechanism relate to AI chatbots like ChatGPT?
Attention Mechanism is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: Understanding that "it" refers to "the cat" in a sentence Understanding this helps you use AI tools more effectively.
Related Use Cases
AI Models Using This Concept
See Attention Mechanism in Action
Council lets you compare responses from multiple AI models side-by-side. Experience different approaches to the same prompt instantly.