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What was I made for: Large Language Models in the Real World

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Manage episode 377953517 series 2164374
Content provided by Michael Cembalest. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Cembalest 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://player.fm/legal.

I asked Chat GPT-4 questions on economics, markets, energy and politics that my analysts and I worked on over the last two years. This piece reviews the results, along with the latest achievements and stumbles of generative AI models in the real world, and comments on the changing relationship between innovation, productivity and employment.

View transcript

View video and charts here

  continue reading

110 episodes

Artwork
iconShare
 
Manage episode 377953517 series 2164374
Content provided by Michael Cembalest. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Cembalest 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://player.fm/legal.

I asked Chat GPT-4 questions on economics, markets, energy and politics that my analysts and I worked on over the last two years. This piece reviews the results, along with the latest achievements and stumbles of generative AI models in the real world, and comments on the changing relationship between innovation, productivity and employment.

View transcript

View video and charts here

  continue reading

110 episodes

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