Multi-modal models are artificial intelligence models that can process and relate information from multiple data modalities, such as text, images, audio, and video. They are used to understand and generate content that integrates these different types of data, enabling applications like image captioning (generating textual descriptions of images), visual question answering (answering questions about images), and creating videos from text descriptions. They learn to find connections and patterns across different modes of information.
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