multi-modal-learning

Multi-modal learning combines information from different types of data, such as text, images, and audio, to create more robust and comprehensive models. This technique enhances the model's understanding and contextualization of data by leveraging diverse sources of information. For example, in healthcare, integrating patient records (text), imaging (images), and genomic data (DNA sequences) can yield more accurate predictions and insights.