

From Open Source to Traditional ML with James Lamb - ML 138
Jan 4, 2024
James Lamb, senior software engineer at NVIDIA, discusses his journey of contributing to open source projects and the impact of traditional machine learning on the modern economy. They explore the significance of human review in the PR process, the value of automated feedback, and maintaining a positive environment for contributors. They also delve into leveraging open source projects, attending conferences, and tips for open source development.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 4min
Contributing to Open Source Projects: Motivations and Experiences
04:00 • 20min
Observations on Open-Source Projects and Maintainer Behavior
24:08 • 2min
Leveraging Open Source Projects for Wide Use and Effective Maintenance
26:37 • 25min
Value of Conferences, Open Source Contributions, and Topendevs Membership
51:28 • 3min
Tips for Open Source Development and Offline Communication
54:42 • 3min