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S4E2: Google DeepMind’s Dr. Claire Cui on The Next Frontier for Large Language Models
Manage episode 373813900 series 2547493
Content provided by GV (Google Ventures). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GV (Google Ventures) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
On Season 4 of the Theory and Practice podcast, GV’s Anthony Philippakis and Osmo’s Alex Wiltschko explore being human in the age of AI. Guests this season dive into areas including AI communication, robotic surgery, and decision-making.
Episode 2 explores how machine learning evolved to where it is today. Anthony and Alex’s guest is Dr. Claire Cui, a computer scientist from Google DeepMind. They discuss the underlying architecture of LLMs, how self-supervising algorithms work, and the technological developments that have driven innovation.
How do we empower the next generation of LLMs with greater deduction skills and efficiency? We explore a future where introspection is added to LLMs, and Dr. Cui gives broader context to our current thinking about AI’s vast potential.
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Manage episode 373813900 series 2547493
Content provided by GV (Google Ventures). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GV (Google Ventures) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
On Season 4 of the Theory and Practice podcast, GV’s Anthony Philippakis and Osmo’s Alex Wiltschko explore being human in the age of AI. Guests this season dive into areas including AI communication, robotic surgery, and decision-making.
Episode 2 explores how machine learning evolved to where it is today. Anthony and Alex’s guest is Dr. Claire Cui, a computer scientist from Google DeepMind. They discuss the underlying architecture of LLMs, how self-supervising algorithms work, and the technological developments that have driven innovation.
How do we empower the next generation of LLMs with greater deduction skills and efficiency? We explore a future where introspection is added to LLMs, and Dr. Cui gives broader context to our current thinking about AI’s vast potential.
36 episodes
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Similar to Theory and Practice
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
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…
continue reading
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…
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Go offline with the Player FM app!
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