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.
Automation involves the use of technology, including AI, to perform tasks and processes with minimal human intervention. By automating repetitive or time-consuming tasks, businesses…