Cosmos AI models trained on 20 million hours of human moves !

By | January 8, 2025
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(Last Updated On: January 8, 2025)

Cosmos AI models are a family of large language models (LLMs) developed by NVIDIA. They are designed to be world foundation models, meaning they can generate realistic and physics-aware simulations of the world. This makes them particularly useful for applications in robotics, autonomous vehicles, and other areas where understanding and interacting with the physical world is essential.

Here are some key features of Cosmos AI models:

  • Trained on massive datasets: They are trained on trillions of tokens of data, including text, images, and videos, to develop a comprehensive understanding of the world.  
  • Physics-aware: They can generate simulations that obey the laws of physics, such as gravity and object permanence.   
  • Multimodal: They can handle different types of data, including text, images, and videos, and can generate outputs in various modalities. 
  • Generative: They can create new content, such as videos of future events or simulations of different scenarios.

Here are some of the specific models in the Cosmos family:

  • Cosmos-1.0-Diffusion-7B-Text2World: Generates visual worlds from text descriptions. 
  • Cosmos-1.0-Diffusion-14B-Text2World: A larger version of the above model with improved performance.
  • Cosmos-1.0-Diffusion-7B-Video2World: Generates future visual worlds based on video and text input.  
  • Cosmos-1.0-Autoregressive-4B: Generates future visual worlds. 
  • Cosmos-1.0-Autoregressive-12B: A larger version of the above model with improved performance.

Key use cases for Cosmos AI models:

  • Robotics: Training robots in virtual environments before deploying them in the real world.   
  • Autonomous vehicles: Developing and testing self-driving cars in simulated environments.
  • Synthetic data generation: Creating large datasets of synthetic data for training other AI models.   
  • Content creation: Generating realistic and creative content for games, movies, and other applications.  

If you want to learn more about Cosmos AI models, you can check out these resources: