An AI system's internal representation of how the world works — understanding physics, cause and effect, and spatial relationships.
An AI system's internal representation of how the world works — understanding physics, cause and effect, and spatial relationships. Building better world models is seen as key to achieving AGI. Current LLMs have surprisingly good implicit world models but still make basic physical reasoning errors.
Artificial General Intelligence.
The ability of AI models to draw conclusions, solve problems logically, and work through multi-step challenges.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
The research field focused on making sure AI systems do what humans actually want them to do.
The broad field studying how to build AI systems that are safe, reliable, and beneficial.
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