Technical
Attention Mechanism
Definition
A neural network component that allows models to focus on relevant parts of the input when producing outputs.In-Depth Explanation
Attention computes weighted importance scores for all input elements relative to the current processing step. Self-attention (used in transformers) relates different positions within a sequence to each other. This mechanism enables models to capture long-range dependencies and contextual relationships.
Real-World Example
When translating "The cat sat on the mat," attention helps the model focus on "cat" when generating the subject in another language.
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