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Multimodal AI is a revolutionary technology that combines different forms of data such as images, text, photographs, graphs, reports and more for a richer, more insightful analysis. This technology is being used in autonomous vehicles, healthcare, conversational agents and more. Older machine learning models were unimodal, meaning they capable of only handling one type of input. OpenAI’s ChatGPT and Google’s multimodal search engine are examples of multimodal AI technology. Multimodal AI systems are engineered to comprehend, interpret, and integrate multiple forms of data, making its outputs much more accurate.