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

Generally Intelligent

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Evolving Perspectives in Image Representation Models

This chapter discusses the progression of image representation models from view-dependent to view-invariant systems. It examines challenges faced by early models, the role of inductive biases in machine learning, and how these concepts have shifted with increasing data availability. The chapter also touches on the significance of data selection in model training, particularly in the context of contrastive learning.

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