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Manage episode 456467083 series 3625975
Content provided by Dog and Pony Show Audio Productions and Pony Show Audio Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dog and Pony Show Audio Productions and Pony Show Audio Productions 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://podcastplayer.com/legal.

In this episode of The Attention Mechanism, hosts Justin Robert Young and Andrew Mayne delve into the evolving landscape of AI, focusing on the new O1 model from OpenAI. They discuss the transition from base models to instruction models, the significance of prompting techniques, and the implications of AI in coding and other fields. The conversation also touches on the potential of AI to revolutionize workflows, the challenges of evaluating AI performance, and the broader context of AI's role in society amidst speculation and hype.


Chapters


00:00 Introduction to the Attention Mechanism Podcast

03:16 Exploring o1

05:56 Understanding Instruction Models vs. Base Models

20:59 The AI Bubble: Hype vs. Reality

27:03 Meta Discussion: The Purpose of the Podcast


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

28 episodes

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iconShare
 
Manage episode 456467083 series 3625975
Content provided by Dog and Pony Show Audio Productions and Pony Show Audio Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dog and Pony Show Audio Productions and Pony Show Audio Productions 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://podcastplayer.com/legal.

In this episode of The Attention Mechanism, hosts Justin Robert Young and Andrew Mayne delve into the evolving landscape of AI, focusing on the new O1 model from OpenAI. They discuss the transition from base models to instruction models, the significance of prompting techniques, and the implications of AI in coding and other fields. The conversation also touches on the potential of AI to revolutionize workflows, the challenges of evaluating AI performance, and the broader context of AI's role in society amidst speculation and hype.


Chapters


00:00 Introduction to the Attention Mechanism Podcast

03:16 Exploring o1

05:56 Understanding Instruction Models vs. Base Models

20:59 The AI Bubble: Hype vs. Reality

27:03 Meta Discussion: The Purpose of the Podcast


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

28 episodes

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