Train AI Agents for Command-Line Tasks with Synthetic Data and Reinforcement Learning & Gym | 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.