
Episode 31: Rethinking Data Science, Machine Learning, and AI
Vanishing Gradients
Navigating Challenges in Data Science and AI
This chapter explores the implications of using outputs from large language models to train new models, addressing concerns about potential degradation in quality. The speaker introduces key projects like Comcode and Data Science Fiction, while examining the intricacies of dataset searching and improving user interfaces in data science tools. They emphasize the importance of accessibility, community engagement, and practical solutions in the evolving landscape of data science.
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