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- Introducing the V-JEPA 2 world model and new benchmarks for . . .
Meta Video Joint Embedding Predictive Architecture 2 (V-JEPA 2) is a world model that achieves state-of-the-art performance on visual understanding and prediction in the physical world Our model can also be used for zero-shot robot planning to interact with unfamiliar objects in new environments
- Meta launches AI world model to advance robotics, self . . .
Meta on Wednesday announced it's rolling out a new AI "world model" that can better understand the 3D environment and movements of physical objects
- GitHub - facebookresearch vjepa2: PyTorch code and models for . . .
Post-training of the action-conditioned model, starting from the pretrained VJEPA 2 backbone, also follows a similar interface, and can be run locally or distributed using this config We post-train the model starting from the ViT-g 16 backbone
- Metas V-JEPA 2 model teaches AI to understand its . . .
Meta on Wednesday unveiled its new V-JEPA 2 AI model, a “world model” that is designed to help AI agents understand the world around them V-JEPA 2 is an extension of the V-JEPA model that
- Our New Model Helps AI Think Before it Acts - About Facebook
Today, we’re excited to share V-JEPA 2, our state-of-the-art world model, trained on video, that enables robots and other AI agents to understand the physical world and predict how it will respond to their actions These capabilities are essential to building AI agents that can think before they act, and V-JEPA 2 represents meaningful
- Meta AI Releases V-JEPA 2: Open-Source Self-Supervised World . . .
Meta AI has introduced V-JEPA 2, a scalable open-source world model designed to learn from video at internet scale and enable robust visual understanding, future state prediction, and zero-shot planning Building upon the joint-embedding predictive architecture (JEPA), V-JEPA 2 demonstrates how self
- What is V-JEPA 2? Inside Meta’s AI Model That Thinks Before . . .
V-JEPA 2 is a state of the art AI model from Meta The acronym title stands for Video Joint Embedding Predictive Architecture 2 It’s trained on videos that help robotics and AI agents to not only better understand the physical world but predict how elements grounded in reality will respond to actions they take
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