Update README.md

README.md

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 | **License** | Apache 2.0 |
 
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-## Post-Training Pipeline
 
-Starting from [NVIDIA-Nemotron-3-Nano-30B-A3B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16):
-
-1. **Supervised Fine-Tuning (SFT)**: We generated synthetic data via [NVIDIA Data Designer](https://build.nvidia.com/nemo/data-designer) and trained the model using [NVIDIA AutoModel](https://github.com/NVIDIA-NeMo/Automodel).
-2. **Direct Preference-Optimization (DPO)**: We manually annotated slide generation results from diverse models, and further trained the model by [NVIDIA RL](https://github.com/NVIDIA-NeMo/RL).
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 ## Evaluation Results
 
 To evaluate the outcome we use [Gemini 3 Flash](https://deepmind.google/models/gemini/flash/) as a VLM judge. Our final model achieves a +48% improvement over the Nano baseline.