Multimodal models are artificial intelligence models that can process and relate information from multiple data modalities, such as text, images, audio, and video. They are commonly used to understand complex scenarios, such as generating image captions from images and text, answering questions about videos, or translating between languages using both text and audio input. By integrating different types of data, these models can achieve a more comprehensive understanding and improved performance compared to models that only process a single modality.
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