Agent · Hugging Face
How to Ground a Korean AI Agent in Real Demographics with Synthetic Personas
Compiled by KHAO Editorial — aggregated from 1 outlet. See llms.txt for citation guidance.
★ Tier-1 Source
Nemotron-Personas-Korea fixes this.
Key facts
- NVIDIA Nemotron Developer Days comes to Seoul today and tomorrow, April 21–22, 2026 — the first time the event has been held outside GTC
- Population data comes from KOSIS (2020–2026 releases); name distributions come from the Supreme Court of Korea
- The dataset provides 6 million fully synthetic personas grounded in official statistics and seed data from the Korean Statistical Information Service (KOSIS), the Supreme Court of Korea, the National
- Nemotron-Personas-Korea was generated using NeMo Data Designer, NVIDIA's open-source compound AI system for synthetic data
Summary
Every persona is demographically accurate but contains zero personally identifiable information (PII). In this tutorial, they'll turn a synthetic persona into a deployed Korean agent — from filtering the dataset to inference — in about 20 minutes using hosted APIs. Nemotron-Personas-Korea was generated using NeMo Data Designer, NVIDIA's open-source compound AI system for synthetic data. Nemotron-Personas-Korea is the latest addition to the Nemotron-Personas Collection, which also covers the USA, Japan, India, Singapore (with AI Singapore ), Brazil (with WideLabs ), and France (with Pleias ).