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| | The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.
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| | Implementing a GPT model from scratch in NumPy.
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| Today we will see how to use the analysis of the multiplicative weights algorithm in order to construct pseudorandom sets. The method will yield constructions that are optimal in terms of the size of the pseudorandom set, but not very efficient, although there is at least one case (getting an ``almost pairwise independent'' pseudorandom generator)...