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Prof. Chris Bishop's NEW Deep Learning Textbook!

Machine Learning Street Talk (MLST)

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Understanding Deep Learning Models

This chapter explores the nature of large deep learning models, debating their identity as singular entities or a collection of specialized components. It emphasizes the capabilities of models like GPT-4, examining their performance across diverse tasks and their implications for human creativity and intelligence. The discussion also raises questions about the role of AI in augmenting human abilities and the constraints placed on these models by design choices.

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