Curtis Northcutt is Co-Founder & CEO of Cleanlab, the company that helps AI & ML teams automatically find and fix errors in their datasets. They have over 5K stars on GitHub and are already working with companies such as Wells Fargo and Google on ML data quality.
In this episode, we discuss the difference between data noise and model noise, the growing importance of ML data quality with the momentum around generative AI models and applications, how Curtis' focus as CEO has shifted over time & much more!
Episode 76: How Cleanlab Can Help GPT-3, Bard, and Claude with Data Quality