687: Generative Deep Learning, with David Foster
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Diffusion, Clip Models, and World Models in Generative AI
The chapter explores the concepts of diffusion in generative AI models, discussing how it enables the transformation of images through small steps and its role in stable diffusion and latent diffusion. It elucidates clip models' utilization in tasks involving text-to-image relations and their advantages over previous models like AlexNet. Additionally, it delves into world models, combining variational autoencoders, autoregression, and reinforcement learning to forecast future outcomes based on present conditions.
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