Description
At GTC Berlin, NVIDIA showed what’s possible when you post-train Nemotron for a specific region, language, and cultural context, and this tutorial brings that work to your terminal. We’ll walk through the full post-training pipeline using Nemotron Persona open datasets: from defining target behavior and generating synthetic conversations to fine-tuning with LoRA and evaluating the result. You’ll see exactly how this workflow produces models that handle regional terminology, cultural nuance, and domain-specific response patterns that general-purpose models miss.
What you’ll learn:
- How to use Nemotron Persona datasets to generate synthetic training conversations for your target language and region
- How to fine-tune Nemotron with LoRA for domain- and locale-specific behavior
- How to merge the adapter and serve your adapted model
- How to evaluate the adapted model against the base to measure improvement
Working on localizing a model or adapting Nemotron for your region? Bring your questions, and our speakers will walk through the workflow live and take them at the end.