
Eric Siegel and Luba Gloukhova cover why machine learning is the most important, most potent, and most misunderstood technology. And did we mention most important?Yup, it’s the most important – yet most new ML projects fail to deliver value. This podcast will help you:- Make sure machine learning is effective and valuable- Catch common machine learning oversights- Understand ethical pitfalls – con... more
| Publishes | Twice weekly | Episodes | 41 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | BusinessTechnology | |||

In this episode, we talk about real, truly deployed LLM-based systems that push the limits of autonomy. How can we "tame" LLMs to create feasible, practical solutions that are viable for deployment? What are their ultimate limitations?
In this episode, Luba Gloukhova and Eric Siegel unpack the new paper, "AI Must Embrace Specialization via Superhuman Adaptable Intelligence," by Yann LeCun and others.
The paper endeavors to "address what’s wrong with our conception of AGI, and why,... more
In this very special episode, the first with a co-host (Luba Gloukhova), Dr. Data and Miss Information explore why people are messing with the definition of artificial general intelligence, the problem with the concept, how it feeds AI hype, and how ... more
In this episode, listen to a narration of Eric Siegel's article in Forbes:
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprise... more
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #214 |
Listeners, social reach, demographics and more for this podcast.
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The Dr. Data Show launched 4 years ago and published 41 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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