Today we kick things off with a conversation with D. Sculley, a director on the Google Brain team. Many listeners of today’s show will know D. from his work on the paper, The Hidden Technical Debt in Machine Learning Systems, and of course, the infamous diagram. D. has recently translated the idea of technical debt into data debt, something we spend a bit of time on in the interview.
We discuss his view of the concept of DCAI, where debt fits into the conversation of data quality, and what a shift towards data-centrism looks like in a world of increasingly larger models i.e. GPT-3 and the recent PALM models. We also explore common sources of data debt, what are things that the community can and have done to mitigate these issues, the usefulness of causal inference graphs in this work, and much more! If you enjoyed this interview or want to hear more on this topic, check back on the DCAI series page weekly at https://twimlai.com/podcast/twimlai/series/data-centric-ai.
The complete show notes for this episode can be found at twimlai.com/go/574

Data Debt in Machine Learning with D. Sculley - #574

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The complete show notes for this episode can be found at twimlai.com/go/681.

GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681

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The complete show notes for this episode can be found at twimlai.com/go/680.

Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680

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The complete show notes for this episode can be found at twimlai.com/go/679.

Localizing and Editing Knowledge in LLMs with Peter Hase - #679

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The complete show notes for this episode can be found at twimlai.com/go/678.

Coercing LLMs to Do and Reveal (Almost) Anything with Jonas Geiping - #678

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The complete show notes for this episode can be found at twimlai.com/go/677.

Data Debt in Machine Learning with D. Sculley - #574

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