Piero shares the story of how Ludwig was created, as well as the ins and outs of how Ludwig works and the future of machine learning with no code.

Piero is a Staff Research Scientist in the Hazy Research group at Stanford University. He is a former founding member of Uber AI, where he created Ludwig, worked on applied projects (COTA, Graph Learning for Uber Eats, Uber’s Dialogue System), and published research on NLP, Dialogue, Visualization, Graph Learning, Reinforcement Learning, and Computer Vision.

Topics covered:
0:00 Sneak peek and intro
1:24 What is Ludwig, at a high level?
4:42 What is Ludwig doing under the hood?
7:11 No-code machine learning and data types
14:15 How Ludwig started
17:33 Model performance and underlying architecture
21:52 On Python in ML
24:44 Defaults and W&B integration
28:26 Perspective on NLP after 10 years in the field
31:49 Most underrated aspect of ML
33:30 Hardest part of deploying ML models in the real world

Learn more about Ludwig: https://ludwig-ai.github.io/ludwig-docs/
Piero's Twitter: https://twitter.com/w4nderlus7
Follow Piero on Linkedin: https://www.linkedin.com/in/pieromolino/?locale=en_US

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