In this episode, Frank sits down and talks with Devvret Rishi on powering real-world AI projects with declarative ML and the importance of open source.

Andy was not able to attend this recording, but will be back next week!

Show Notes

04:36 Build, train, serve, deploy; critical data engineering link.

07:24 Model configuration for input output prediction summaries.

11:05 Saw spike and heavy churn after rollout.

16:21 Advancements in AI: use pre-trained deep learning models.

19:38 Trends for Gen AI: creative use cases, specialized APIs.

21:31 Questioning a sales tactic and legal concerns.

25:58 People can introspect, edit, and change models.

30:02 Early data science projects led to passion.

31:24 Cybersecurity and AI partnership driving industry innovation.

33:58 Understanding randomness as a valuable model feature.

39:39 Technology provides accessible, shared experiences in AI.

41:51 Technology as a companion for psychological support.

44:06 Immigration experience from India to Silicon Valley.

47:59 Unexpected culture shock from Bay Area to Boston.

50:40 Easily learn with hands-on prediabase.com access.

Speaker Bio

Devvret Rishi is a co-founder of Prediabase, a platform that helps engineers and developers productionize open source AI. The idea for Prediabase came from Rishi's co-founder Piero's experience at Uber, where he noticed that he was constantly reinventing the wheel with each new machine learning project. To streamline the process, he created a tool called Ludwig, which eventually became popular at Uber and was open sourced. Rishi's work with Prediabase has revolutionized the way AI is developed and implemented in engineering teams around the world.