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Leading the teams behind the world’s fastest AI | Jensen Huang

Strange Loop Podcast

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Advancements in Multimodal AI Architectures

This chapter examines the progress of machine learning architectures, particularly multimodal systems that combine various data types for better performance. It highlights the shift from classical CNNs to transformers and discusses the importance of integrating language and physical concepts in training AI models. The chapter further explores the implications of these advancements for augmenting human intelligence and addressing safety and alignment in AI applications.

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