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Ep 47: Chief AI Scientist of Databricks Jonathan Frankle on Why New Model Architectures are Unlikely, When to Pre-Train or Fine Tune, and Hopes for Future AI Policy

Unsupervised Learning

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Navigating the Complexities of Data Annotation

This chapter delves into the intricacies of data annotation and its vital importance for AI development. It highlights the ongoing debate between external and in-house labeling and recognizes companies that excel in mastering the complexities of this crucial process.

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