915: How to Jailbreak LLMs (and How to Prevent It), with Michelle Yi

Super Data Science: ML & AI Podcast with Jon Krohn

A tartalmat a Jon Krohn biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jon Krohn vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

2M ago 1:09:33

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Tech leader, investor, and Generationship cofounder Michelle Yi talks to Jon Krohn about finding ways to trust and secure AI systems, the methods that hackers use to jailbreak code, and what users can do to build their own trustworthy AI systems. Learn all about “red teaming” and how tech teams can handle other key technical terms like data poisoning, prompt stealing, jailbreaking and slop squatting.

This episode is brought to you by ⁠Trainium2, the latest AI chip from AWS⁠ and by the ⁠Dell AI Factory with NVIDIA⁠.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/915⁠⁠⁠⁠⁠

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

(03:31) What “trustworthy AI” means
(31:15) How to build trustworthy AI systems
(46:55) About Michelle’s “sorry bench”
(48:13) How LLMs help construct causal graphs
(51:45) About Generationship

1013 epizódok

#Data Science #Science #Tech #Software Development #Jon Krohn