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The Evolution of GPTs and Their Customization

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Manage episode 480617510 series 3663600
Content provided by Antonio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Antonio 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.

In this episode, we delve into the transformative potential of OpenAI's newly announced GPTs (Generative Pre-trained Transformers) with insights from the CTO of Morningside AI. The discussion centers on how these customizable AI models are reshaping business strategies by lowering barriers to AI adoption, enabling revenue-sharing opportunities, and challenging existing frameworks like RAG (Retrieval-Augmented Generation) systems. While highlighting the value of proprietary data and specialized AI tooling, the conversation also addresses critical limitations, such as data size constraints, and advocates for a modular approach to integration. This analysis provides actionable guidance for businesses aiming to balance innovation with practical implementation in an era of rapid AI advancement.

  continue reading

2 episodes

Artwork
iconShare
 
Manage episode 480617510 series 3663600
Content provided by Antonio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Antonio 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.

In this episode, we delve into the transformative potential of OpenAI's newly announced GPTs (Generative Pre-trained Transformers) with insights from the CTO of Morningside AI. The discussion centers on how these customizable AI models are reshaping business strategies by lowering barriers to AI adoption, enabling revenue-sharing opportunities, and challenging existing frameworks like RAG (Retrieval-Augmented Generation) systems. While highlighting the value of proprietary data and specialized AI tooling, the conversation also addresses critical limitations, such as data size constraints, and advocates for a modular approach to integration. This analysis provides actionable guidance for businesses aiming to balance innovation with practical implementation in an era of rapid AI advancement.

  continue reading

2 episodes

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