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title: Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills
description: NVIDIA Cosmos 3 Nano, a physical AI world foundation model, can be post-trained for video question answering in a single day using NVIDIA TAO agent skills and...
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og:description: NVIDIA Cosmos 3 Nano, a physical AI world foundation model, can be post-trained for video question answering in a single day using NVIDIA TAO agent skills and...
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# Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills

**[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 11 min read · 0 upvotes · 0 comments

## Summary

NVIDIA Cosmos 3 Nano, a physical AI world foundation model, can be post-trained for video question answering in a single day using NVIDIA TAO agent skills and a coding agent like Codex. Using LoRA fine-tuning, a single natural language prompt triggers an automated pipeline that handles data patching, baseline evaluation, and training — boosting zero-shot accuracy from 54.41% to 87.14% in ~30 minutes on 8 A100 GPUs. A second prompt triggers TAO AutoML with Bayesian optimization across 43 parallel trials, pushing accuracy to 93.35%. The workflow compresses what was previously a multi-day engineering effort into one day of automated execution, and the resulting LoRA adapter can be deployed via Cosmos 3 Reasoner NIM for production use.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-in-one-day-using-agent-skills>

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---

Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#automl](https://daily.dev/tags/automl), [#lora](https://daily.dev/tags/lora), [#vlm](https://daily.dev/tags/vlm)

[View this post on daily.dev](https://daily.dev/posts/post-train-nvidia-cosmos-3-in-one-day-using-agent-skills-hbjdy6hn2)

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