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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.
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3838 ratings
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.
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