Chip Huyen: Machine Learning Tools and Systems

In episode 32 of The Gradient Podcast, Andrey Kurenkov speaks to Chip Huyen.Chip Huyen is a co-founder of Claypot AI, a platform for real-time machine learning. Previously, she was with Snorkel AI and NVIDIA. She teaches CS 329S: Machine Learning Systems Design at Stanford. She has also written four bestselling Vietnamese books, and more recently her new O’Reilly book Designing Machine Learning Systems has just come out! Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterShe also maintains a Discord server with a focus on Machine Learning Systems.Outline:* (00:00) Intro* (01:30) 3-year trip through Asia, Africa, and South America* (04:00) Getting into AI at Stanford* (11:30) Confession of a so-called AI expert* (16:40) Academia vs Industry* (17:40) Focus on ML Systems* (20:00) ML in Academia vs Industry* (28:15) Maturity of AI in Industry* (31:45) ML Tools* (37:20) Real Time ML* (43:00) ML Systems Class and BookLinks:* Chip’s website* MLOps Discord server* Confession of a so-called AI expert* What I learned from looking at 200 machine learning tools* CS 329S: Machine Learning Systems Design* Designing Machine Learning Systems Get full access to The Gradient at thegradientpub.substack.com/subscribe