Build Custom World Foundation Models with NVIDIA Cosmos
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Video Description
NVIDIA Cosmos is a world foundation model platform that accelerates the development of physical AI applications like humanoid robots and autonomous vehicles. Mehran Maghoumi, a developer advocate at NVIDIA, shows you how to get started with Cosmos world foundation models in the NVIDIA NeMo framework. He overviews model setup, inference, raw video data curation and post-training to generate customized and high-quality training data. Try the Diffusion Model in the Cloud ➡️https://nvda.ws/40THGyn Diffusion Model Inference ➡️https://nvda.ws/3E4JImg Diffusion Model Post-Training ➡️ https://nvda.ws/3WooW7y Autoregressive Model Inference ➡️https://nvda.ws/42hP9Z7 Autoregressive Model Post Training➡️ https://nvda.ws/3PIvvhc Apply for Early Access ➡️https://nvda.ws/4gdmB6i 00:00 - Introduction 00:35 - Cosmos World Foundation Models Overview 01:35 - Getting Started 03:10 - How to Customize a Model on Your Own Data 04:39 - Curating Videos 05:30 - Tokenization 06:33 - Post-Training and Video Generation #GenerativeAI #NVIDIANeMo #NVIDIACosmos Generative AI, World Models, NVIDIA NeMo, NVIDIA Cosmos, NeMo Curator, World Foundation Models, WFM, Physical AI, Foundation Models
Essential Cosmos Components
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