Chip Huyen
Chip Huyen is a core developer on Nvidia’s Nemo platform, a former AI researcher at Netflix, and taught machine learning at Stanford. She’s a two-time founder and the author of two widely read books on AI, including AI Engineering, which has been the most-read book on the O’Reilly platform since its launch. Unlike many AI commentators, Chip has built multiple successful AI products and platforms and works directly with enterprises on their AI strategies, giving her unique visibility into what’s actually happening inside companies building AI products.
Building & Shipping Skills
Productivity gains from AI are often perceived differently by frontline managers, who prioritize human capacity, versus executives, who prioritize broad business metrics.
"It's really hard to measure productivity. So, I do ask people to ask their managers, "Would you rather give everyone on the team very expensive coding agent subscriptions or you get an extra head coun..."
Overlay: Building AI Products Skills
True AI product improvement comes from addressing core user needs and data quality rather than chasing technical hype or the latest model releases.
"If you talk to the users who understand what they want or they don't want, look into the feedback, then you can actually improve the application way, way, way more. Why do you need to keep up to date..."