Multi-Modal learning refers to AI models that learn from multiple sources of data, such as text, images, and audio. By incorporating information from multiple modalities, these models can capture richer and more comprehensive representations. Multimodal Learning finds applications in areas like sentiment analysis, image captioning, and video understanding.
Machine Learning is a powerful branch of Artificial Intelligence (AI) that focuses on enabling computer systems to learn and improve from experience without being…