#multi-model examples

What is multi-modal learning? Multi-modal learning is a type of machine learning that involves training models on multiple sources of data, or “modalities,” in order to make predictions or take actions. This approach is designed to capture as much information as possible from different types of data, such as text, images, audio, and video, in order to make more accurate predictions or…