Hugging Face has introduced a new framework for building Korean-language AI agents using NVIDIA's Nemotron model series. The initiative leverages persona-based agent design, allowing developers to create AI assistants with customizable behaviors, tones, and roles.
Key features include LLM-based agent architecture that supports multi-turn dialogue and role-based interactions. The system enables practical deployment of real-world AI agents, from customer service bots to educational tutors, all operating in Korean. This expands the Korean AI ecosystem by providing accessible tools for agent development.
The Nemotron model family, optimized for inference, serves as the backbone for these agents. Developers can define personas—such as a friendly helper or a professional advisor—and the agent adapts its responses accordingly. The framework also includes pipelines for building and managing agent workflows.
This collaboration between Hugging Face and NVIDIA aims to accelerate Korean AI adoption by lowering barriers to entry for local developers and businesses.