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In fields like autonomous driving, this means developers can simulate rare edge cases without waiting for real-world occurrences, maximizing the utility of rare scenarios. It facilitates more effective training of policy models — the systems guiding robotic behavior — by allowing fine-tuning in these highly realistic environments.
The Technology Behind the Breakthrough
At the heart of Cosmos Transfer One is the adaptive multimodal control system, enabling developers to dictate the importance of various visual inputs. Nvidia’s implementation allows developers to define how much each input contributes to the training process at a pixel level, enhancing realism while adding variability.