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Master the Art of World Models

Explore how AI systems learn to understand and predict the world. From foundational concepts to cutting-edge research, discover the future of machine intelligence.

What are World Models?

World Models are AI systems that learn internal representations of their environment, enabling them to simulate and predict future states. This approach, inspired by human cognition, allows agents to plan and make decisions in complex environments.

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Vision Model (V)
Compresses high-dimensional observations into compact latent representations.
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Memory Model (M)
Predicts future states based on current observations and actions.
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Controller (C)
Makes decisions using the compressed representations from V and M.

Why Learn World Models?

Foundation of AGI

World models are considered a crucial step toward artificial general intelligence.

Sample-Efficient Learning

Learn from fewer examples by building internal simulations of the world.

Cutting-Edge Research

Stay at the forefront of AI research with the latest developments.

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Join thousands of learners exploring the future of AI.
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Begin with foundational concepts
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Explore interactive visualizations
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Ask questions to our AI assistant
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