Nemotron-4 340B Technical Report

Research scientist at Moonshot AI studying scaling in reinforcement learning and large language models.

Computer scientist, UC Berkeley professor, and Databricks co-founder and CTO. He created Apache Spark and works on systems for large-scale data, machine learning, and compound AI applications.

Research scientist at NVIDIA and University of Maryland PhD student whose public site highlights speech, audio, and video generation plus alignment for large language and vision-language models.

Senior applied scientist at NVIDIA working on open foundation models and post-training. Previously he was a visiting researcher at Google DeepMind and Google Brain, and he earned an MSc in computer science from ETH Zurich.

Research scientist at NVIDIA working on compression, efficient inference, post-training, multimodality, and evaluation for large language models. He completed a PhD in machine learning at Stanford and a master's in artificial intelligence at the University of Edinburgh.

Leon Derczynski is a professor in natural language processing at DTU Compute whose research focuses on information extraction, online harms, and the dynamics of abusive language and misinformation.

Mitesh M. Khapra is a professor at IIT Madras and co-founder of AI4Bharat whose research spans natural language processing, machine learning, transfer learning, and deep learning.

Boris Ginsburg is a principal engineer and research scientist at NVIDIA whose work focuses on efficient machine learning and deep learning for speech recognition, language processing, and computer vision.

Amelie Haghighat is an incoming assistant professor at the University of Illinois Chicago whose research focuses on trustworthy and resource-efficient machine learning systems.

Ana Klimovic is an assistant professor of computer science at ETH Zurich whose research focuses on machine learning systems, efficient hardware acceleration, and sustainable AI.

Compiler researcher and entrepreneur, creator of the PolyMage DSL, and Professor at the Indian Institute of Science whose work spans compilers, AI systems, and programming languages.

Boris Ivanovic is a postdoctoral scholar in Stanford's Autonomous Systems Lab whose research focuses on human-centered machine learning and data-driven prediction and planning for autonomous systems.

Ameet Talwalkar is an associate professor in the Machine Learning Department at Carnegie Mellon University and Chief Scientist at Datadog. His public research spans AI for science, human-AI interaction, and specialized models and agents.

Assistant professor at the University of Oxford and research scientist at NVIDIA. His public work focuses on robot learning, robotics, reinforcement learning, computer vision, and multimodal models.

Research scientist at NVIDIA working on AI systems and large-scale machine learning, with research spanning distributed systems, deep learning, and networking.

Machine learning researcher known for work on variational autoencoders, Adam, Glow, and variational diffusion models; his public homepage notes that he was part of OpenAI's founding team and is now at Anthropic.

Research scientist focused on making powerful AI systems go well; his personal site lists research roles at Redwood Research, Google DeepMind, and NVIDIA.

Software engineer at NVIDIA with public work spanning machine learning systems and large language models, including Nemotron-4.

Vijay Janapa Reddi is a professor of electrical engineering and computer science at Harvard University whose research spans computer architecture, systems, compilers, and machine learning.

Adriana Hummel is a PhD student in computer science at Stanford University working on efficient and trustworthy AI systems.

Anjali Gupte is a PhD student in computer science at the University of Southern California whose research focuses on trustworthy AI, natural language processing, and information retrieval.

Principal research scientist at NVIDIA working on recursive intelligence, test-time reasoning, AI for biology, multimodal generation, and code generation.

Vice President of Learning and Perception Research at NVIDIA, leading work in computer vision, graphics, and machine learning.

Karthik Pattabiraman is a professor of computer science at the University of British Columbia whose research spans software engineering, dependable distributed systems, systems performance, and software security.