Attention Metrics

Attention metrics measure how much focus a model gives to different parts of input data when making a decision. Think of it like highlighting important words in a document; the metric tells us which words or features the AI considers most relevant. These insights help us understand and interpret the model's reasoning process, ensuring it makes decisions based on meaningful information rather than noise. In essence, attention metrics provide transparency, showing us where the model is "paying attention" during its analysis.