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(Music Removed) #90 - Prof. DAVID CHALMERS - Consciousness in LLMs [Special Edition]

Machine Learning Street Talk (MLST)

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Exploring Trade-offs in Explainability and Performance of Machine Learning Models

This chapter explores the intricate relationship between model performance and the need for explainability in machine learning. It highlights the contrast between post-hoc and integrated methods, as well as the insights gained from analyzing model components in relation to neuroscience.

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