Vishal Nigam from Informa discusses the benefits of large multimodal models in artificial intelligence. These models combine different types of data, such as text, images, and audio, to improve performance in various tasks. Nigam explains that these models have the potential to revolutionize AI applications by providing a more comprehensive understanding of complex data. He also highlights the challenges of training and deploying these models, including the need for massive amounts of data and computational resources. Overall, Nigam believes that large multimodal models have the potential to significantly advance AI technology and drive innovation in various industries.
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