Build a Natural Language Computer Use Agent | Nemotron Labs

Tuesday, January 20, 2:00pm - 2:30pm (EST)

Time shown in-05:00 America, New York

What if your computer-use agent could learn a new command-line tool—operating it safely, without writing files or free-typing shell commands? With NVIDIA Nemotron open models, you can quickly train specialized agents for any CLI, using synthetic data and reinforcement learning—no usage logs required.

Curious how it can be adapted for your own proprietary CLI environment? Join us live for a developer-focused livestream. In this interactive livestream, we’ll cover:

A live demo: Generating synthetic training data using NeMo Data Designer, validating examples, and fine-tuning with techniques like LoRA and reinforcement learning with verifiable rewards (RLVR) using NeMo RL.
Showcase how safety is built into every layer, from human-in-the-loop command approval to runtime isolation.
Explain why synthetic data generation and RL accelerate agent specialization without compromising accuracy or trust.

Bring your questions about the workflow, model customization, and synthetic data generation we’ll be answering them live throughout the livestream.

Add to Calendar 2026/01/20 11:00:00 2026/01/20 11:30:00 America/Los_Angeles Build a Natural Language Computer Use Agent | Nemotron Labs What if your computer-use agent could learn a new command-line tool—operating it safely, without writing files or free-typing shell commands? With NVIDIA Nemotron open models, you can quickly train specialized agents for any CLI, using synthetic data and reinforcement learning—no usage logs required.

Curious how it can be adapted for your own proprietary CLI environment? Join us live for a developer-focused livestream. In this interactive livestream, we’ll cover:

A live demo: Generating synthetic training data using NeMo Data Designer, validating examples, and fine-tuning with techniques like LoRA and reinforcement learning with verifiable rewards (RLVR) using NeMo RL.
Showcase how safety is built into every layer, from human-in-the-loop command approval to runtime isolation.
Explain why synthetic data generation and RL accelerate agent specialization without compromising accuracy or trust.

Bring your questions about the workflow, model customization, and synthetic data generation we’ll be answering them live throughout the livestream. https://youtube.com/live/ekVtMFoOU-E false MM/DD/YYYY 30 OPAQUE aYxCzombqzbczBuplmYq151051

https://youtube.com/live/ekVtMFoOU-E

Zach Lo, zlo@nvidia.com

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