AI Dictionary
Attention Mechanism
Definition
A technique in neural networks that mimics cognitive attention, allowing the model to focus on specific parts of the input.
Deep Dive
The Attention Mechanism is a powerful technique employed in neural networks, particularly in sequence-to-sequence models, that mimics human cognitive attention. It addresses a limitation in traditional models where processing long input sequences could lead to a loss of information from earlier parts of the sequence. By enabling the model to dynamically "focus" on specific, relevant parts of the input sequence when generating each part of the output, attention significantly enhances the model's ability to handle longer dependencies and improve performance.
Examples & Use Cases
- 1A machine translation model focusing on specific words in a source sentence to translate a particular word
- 2An image captioning model attending to different objects in an image while generating descriptive text
- 3Question answering systems highlighting the most relevant passages in a document to formulate an answer
Related Terms
TransformersSequence-to-Sequence ModelsNatural Language Processing