About me
Tim Dettmers’s is a research scientist at AI2 and an incoming assistant professor at CMU. His research focuses on making foundation models, such as ChatGPT, accessible to researchers and practitioners by reducing their resource requirements. This involves developing novel compression and networking algorithms and building systems that allow for memory-efficient, fast, and cheap deep learning. These methods enable many more people to use, adapt, or train foundation models without affecting the quality of AI predictions or generations. He has won oral, spotlight, and best paper awards at conferences such as ICLR and NeurIPS. He created the bitsandbytes library for efficient deep learning, which is growing at 1.7 million installations per month and received Google Open Source and PyTorch Foundation awards.