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Episode 36: Ari Morcos, DatologyAI: On leveraging data to democratize model training

Generally Intelligent

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Navigating Data Quality Challenges

This chapter explores the complexities of evaluating and managing data quality in machine learning, focusing on the distinction between hard and bad data. It emphasizes the importance of innovation in data curation strategies, including the development of algorithms to quantify data hardness. The conversation also addresses the need for diverse datasets and effective grading systems to improve model training efficiency.

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