NVIDIA has released a hands-on guide demonstrating how coding agents can autonomously plan, run and debug reinforcement-learning experiments end-to-end, using its NeMo software stack and reusable "Agent Skills"—reportedly lifting a small vision model's accuracy from 25.0% to 96.9% on a task it built itself.
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