World Models Explained
Cris discusses the innovative approach of world models in training systems to navigate complex physical environments, like self-driving cars. By predicting future events based on data, these models learn to understand concepts such as gravity without being explicitly programmed. The architecture relies on large models and sequential prediction, enabling a deeper comprehension of movements and interactions in dynamic settings.In this clip
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