Machine Learning Street Talk (MLST) cover image

How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

Machine Learning Street Talk (MLST)

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Refining Machine Learning Models

This chapter explores the intricate process of refining machine learning models, emphasizing world models and wake-sleep fine-tuning. It highlights the interplay between dreaming and waking in model improvement, the significance of synthetic data, and the transition from explicit knowledge structures to implicit learning methods.

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