NVIDIA presents NeMo Gym method for turning agent evaluations into model insights

NVIDIA researchers Jiantao Jiao and Meriem Boubdir present a method that uses NeMo Gym and failure analysis to turn agent trajectories into insights for model development.

The approach is described in a talk titled "Closing the Loop: From Agentic Evaluation at Scale to Actionable Model Insights," which covers evaluating agents at scale. The report, posted on X by LMSYS Org, is a talk announcement and does not include results.