One key feature is the Generative AI Playground for Jetson, providing developers access to open-source large language models. These models can help systems determine a course of action in circumstances they weren't trained on, offering a more natural language interface for the systems. Talla stated that generative AI will significantly accelerate AI deployments at the edge with better generalization, ease of use, and higher accuracy. The latest versions of the platforms also bring improvements to perception and simulation.
Key takeaways:
- Generative AI has been a significant topic in the world of robotics, with Nvidia's vice president and general manager of Embedded & Edge Computing, Deepu Talla, noting its potential for productivity improvement.
- Nvidia recently announced its developments in generative AI, including the general availability of the Nvidia Isaac ROS 2.0 and Nvidia Isaac Sim 2023 platforms.
- The company has introduced the Generative AI Playground for Jetson, providing developers with access to open-source large language models, diffusion models, vision language models, and vision transformers.
- Generative AI is expected to significantly accelerate AI deployments at the edge, offering better generalization, ease of use, and higher accuracy, according to Talla.