
Sign up to save your podcasts
Or


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 Twitter
She 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 Book
Links:
* 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
By Daniel Bashir4.7
4747 ratings
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 Twitter
She 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 Book
Links:
* 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

229,169 Listeners

1,089 Listeners

334 Listeners

4,182 Listeners

211 Listeners

6,095 Listeners

9,927 Listeners

511 Listeners

5,512 Listeners

15,272 Listeners

29,246 Listeners

10 Listeners

25 Listeners