Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model. In this paper, we present the Cosmos World Foundation Model Platform to help developers build customized world models for their Physical AI setups. We position a world foundation model as a general-purpose world model that can be fine-tuned into customized world models for downstream applications. Our platform covers a video curation pipeline, pre-trained world foundation models, examples of post-training of pre-trained world foundation models, and video tokenizers. To help Physical AI builders solve the most critical problems of our society, we make our platform open-source and our models open-weight with permissive licenses available via https://github.com/NVIDIA/Cosmos.

本研究解决了物理人工智能在开发过程中所需の数字化训练问题。提出的宇宙世界基础模型平台，为开发者提供了定制化世界模型的构建工具，包含视频策划流程和预训练模型的示例等。该开放源码平台的建立，有助于推动物理人工智能的进一步发展，其影响深远。

物理人工智能的宇宙世界基础模型平台