Jordan Keller

Keller Jordan is a machine learning researcher known for developing the Muon optimizer and organizing the nanoGPT speedrun, a community benchmark for training a 124M-parameter GPT model as efficiently as possible. He is affiliated with the research community surrounding efficient LLM training and optimization techniques. His work on Muon and the nanoGPT speedrun has been discussed in AI research circles and podcasts.