AI product
NeMo Gym is an AI reinforcement-learning tool for defining reward functions as an alternative to supervised fine-tuning on generated golden trajectories. It is used to train models toward a target agent behavior by evaluating their generated trajectories rather than relying only on prebuilt example traces.
1 use taken from transcripts — each links to the moment in the video.
RL reward-function tool as an alternative to SFT on generated golden trajectories
1 in the library.