Data for Agents

Building effective AI agents requires open data, especially synthetic data, to overcome real-world complexities. NVIDIA's Nemotron models and datasets, highlighted at ICML, leverage synthetic data for pretraining, reasoning, and specialized code. Open data ensures agent behavior is inspectable and explainable. Synthetic data also allows companies to preserve proprietary "secrets" while contributing to a richer, shared data ecosystem. Tools like the Nemotron Post-Training v3 Prompt Atlas help explore this data, and Nemotron-Personas addresses local data quality by generating diverse synthetic personas.