Multimodal models are advanced AI systems designed to process and integrate multiple types of data, such as text, images, audio, and video. By leveraging the strengths of different modalities, these models enhance understanding and enable more sophisticated applications, from natural language processing to computer vision. They are increasingly used in various fields, including healthcare, entertainment, and autonomous systems, to create more robust and versatile AI solutions. As research continues to evolve, multimodal models are set to play a crucial role in shaping the future of artificial intelligence.
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