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A large-scale model trained on broad data that can be adapted to many downstream tasks. Foundation world models (like NVIDIA Cosmos and Genie 2) learn general-purpose representations of world dynamics, analogous to how GPT models serve as foundations for language tasks.
Foundation Model is a glossary concept in the paradigms layer of the world models knowledge base.
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| Attribute | Value |
|---|---|
| Term | Foundation Model |
| Category | Paradigms |
| Definition | A large-scale model trained on broad data that can be adapted to many downstream tasks. Foundation world models (like NVIDIA Cosmos and Genie 2) learn general-purpose representations of world dynamics, analogous to how GPT models serve as foundations for language tasks. |
| Related Models | 3 |
| Related Research | 1 |
| Model | Lab | Category |
|---|---|---|
| NVIDIA Cosmos | NVIDIA | Foundation World Model |
| Genie 2 | Google DeepMind | Generative World Model |
| AMI World Model | AMI Labs | Foundation World Model |
| Topic | Summary |
|---|---|
| Foundation World Models | How foundation world models such as Cosmos and Genie 2 bring large-scale learned simulation to robotics, autonomous driving, and physical AI. |
| Term | Category | Definition |
|---|---|---|
| Diffusion Model | Architecture | A generative model that learns to produce data by reversing a gradual noising process. In world models, diffusion-based architectures (used in NVIDIA Cosmos and UniSim) generate high-fidelity video frames representing possible future states of the environment. |
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Published by world-models.io editorial board.
Lead editor Bernard Grenat.
This glossary page publishes stable definitions linked to related models, research topics, and primary-source context.
Each editorial page is assembled from primary sources, normalized into extractable summaries, checked for factual drift, and reviewed before publication or major refreshes. Last reviewed: 2026-06-21.
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