Global AI MapNemotron ↗
Official project, model family or research program. Follow the source for versions, releases and terms.
United States / AI lab
NVIDIA Research
◎ Santa Clara, United States
NVIDIA Research develops Nemotron models.
Key outputs
HelpSteer2-Preference: Complementing Ratings with Preferences ↗
Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF ↗
Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev
People & contributors
- Zhilin Wang ↗Linked paper authorSOURCE ↗
- Alexander Bukharin ↗Linked paper authorSOURCE ↗
- Olivier Delalleau ↗Linked paper authorSOURCE ↗
- Daniel Egert ↗Linked paper authorSOURCE ↗
Roles are tied to the linked sources. Paper authors are credited as contributors, which does not establish current employment.
Presentations & demonstrations
1m55sTrail Blazing our Future with AI and NVIDIA Research
3m18sResearch at NVIDIA: Researchers Help Robots Work Alongside Humans
1m10sResearch at NVIDIA: GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
Films are credited to their original channels. Selected presentations may include independent interviews and technical explanations.
Sources & public activity
- www.nvidia.com/en-us/research/ ↗
- huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct ↗
- arxiv.org/abs/2410.01257 ↗
- arxiv.org/abs/2310.05344 ↗
Profile reviewed 2026-10-30. City-level approximate marker; not a lab street address.