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Exploring World Models and Video Prediction Challenges
Delving into building world models for accurate predictions, the chapter discusses challenges in developing large video models and accurately representing details in videos. It explores the complexities of training systems to learn representations of images and introduces a novel approach using joint embedding predictive architecture for image features. The conversation also touches on advancing advanced machine intelligence through joint embedding architectures and the concept of predicting representations in a corrupted input space.