Cosmos 3 Nano Accuracy Surges After Post-Training
NVIDIAAI · x · 2026-07-15
NVIDIAAI shared a post-training case study for Cosmos 3 Nano.
- The zero-shot model missed visible traffic signals
- After LoRA post-training, the model correctly recognized intersections
- WTS validation accuracy increased from 54.41% to 87.14%
- Using NVIDIA TAO AutoML further boosted accuracy to 93.35%
- The entire process took less than a day
The core takeaway is that post-training and automated tuning can significantly enhance model recognition in traffic scenarios within a very short timeframe.
Related event: NVIDIA Shows TAO/LoRA Boost for Cosmos 3 Nano(4 posts)→
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