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Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction

Machine Learning Street Talk (MLST)

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Exploring the Contextual Dynamics of Large Language Models

This chapter examines the complexities of large language models, with a special emphasis on GPT-4 and its token context sizes. It discusses important concepts in machine learning, including the bias-variance trade-off and the role of inductive priors in enhancing language processing.

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