Generative Power
Generative power in artificial intelligence focuses on developing models capable of creating novel and realistic outputs, such as images, text, and even protein sequences, often exceeding human capabilities in certain generation tasks. Current research emphasizes improving the efficiency and scalability of generative models, exploring architectures like diffusion models, GANs, and large language models, and investigating the relationship between generative ability and underlying understanding. This field is significant for its potential to revolutionize various domains, from autonomous driving and drug discovery to education and media production, by providing powerful tools for simulation, design, and content creation.
Papers
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