What’s the most practical of practical AI things? Data labeling of course! It’s also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various data labeling challenges and open source tooling to help us overcome those challenges.

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Featuring:

Michael Malyuk – Twitter, LinkedIn
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Books

“Paradigms of Artificial Intelligence Programming” by Peter Norvig

Something missing or broken? PRs welcome!

Open source data labeling tools 44:20 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

Open source data labeling tools