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Why I Should Care About The Virtuous Cycle When Developing an AI Project?

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Manage episode 431300730 series 129763
Content provided by Ricardo Viana Vargas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ricardo Viana Vargas 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.

In this episode, Ricardo discusses the virtuous cycle in AI development, based on Andrew Ng's Coursera course, "AI for Everyone," and highlights the importance of creating AI projects that intersect with business value. Ricardo explains that more data improves algorithms and services, attracting more users, which generates more data and creates a virtuous cycle, leading to some companies dominating AI due to their vast data resources. Ricardo also suggests using existing large language models with fine-tuning for specific applications and recommends Andrew Ng's course for a better understanding of the fundamentals of AI.

Listen to the podcast to learn more.

  continue reading

700 episodes

Artwork
iconShare
 
Manage episode 431300730 series 129763
Content provided by Ricardo Viana Vargas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ricardo Viana Vargas 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.

In this episode, Ricardo discusses the virtuous cycle in AI development, based on Andrew Ng's Coursera course, "AI for Everyone," and highlights the importance of creating AI projects that intersect with business value. Ricardo explains that more data improves algorithms and services, attracting more users, which generates more data and creates a virtuous cycle, leading to some companies dominating AI due to their vast data resources. Ricardo also suggests using existing large language models with fine-tuning for specific applications and recommends Andrew Ng's course for a better understanding of the fundamentals of AI.

Listen to the podcast to learn more.

  continue reading

700 episodes

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