A technique used in transformer models to limit the attention span of each token to a fixed size window around it, reducing computational complexity and making the model more efficient.

• Natural Language Processing
• Speech Recognition
• Image Processing
• Time Series Analysis
• Neural Machine Translation
• Autonomous Vehicles
• Healthcare Analytics

For example, in a machine translation task, SWA can be used to focus only on the tokens within a certain distance from the current word being translated, rather than considering the entire input sequence.

• Current state of data in your organization