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589: Narrative A.I. with Hilary Mason
Super Data Science: ML & AI Podcast with Jon Krohn
Challenges of Dealing with Problematic A.I. Content and Evolution of Data Science
The chapter explores the challenges of monitoring A.I. systems to handle problematic content on platforms like Reddit, emphasizing the importance of classifying language and ranking problems. It also discusses the evolution of data science, from the OSEMN process coined in 2010 to the current emphasis on context understanding and interpreting data for various purposes. The speaker highlights the exciting potential of future learning in machine learning and the comparison between few-shot learning in A.I. models and rapid learning in children.
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