Advanced · Generative AI
World model
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A neural network simulating real-world dynamics, including physics, to generate realistic environments.
Technical Definition
A neural network simulating real-world dynamics, including physics, to generate realistic environments.
How it works
A world model is a type of neural network that aims to learn and understand the underlying dynamics of the real world. This includes aspects like physics, spatial relationships, and how objects interact. By training on diverse data such as text, images, and videos, these models can generate new content, like realistic videos, that accurately simulate physical environments and behaviors.
Related Concepts
- Simulation — Synthetic environments that let agents or models train and be evaluated without real-world risk.
- Generative AI — An AI field focused on creating models that can generate novel and complex content, such as text, images, audio, and video, that is coherent and original.