What does "Multi-modality" mean?

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Multi-modality refers to the use of multiple types of information or data sources to improve understanding or decision-making. In many fields, such as recommendation systems and autonomous driving, combining different forms of data—like text, images, and numerical values—can lead to better results.

For example, in recommendation systems, using a product's description, images, and price together can help the system make more accurate suggestions to users. Instead of relying on just one type of information, multi-modality allows for a richer understanding of the items being recommended.

In autonomous driving, sensors collect various types of data, like visual images from cameras and measurements from radar. Using all this information together helps the vehicle make safer and more informed driving decisions.

Overall, multi-modality enhances performance by drawing on diverse data sources, making systems smarter and more effective at carrying out their tasks.