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| | The paper argues that auto-regressive transformers implement in-context learning via gradient-based optimization on in-context data. ...
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| | The elastic net [3] provides a regularized objective function that meets a compromise between the two extremes of Lasso [2] and ridge regression. It takes in...
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| [AI summary] This article explains how to train a simple neural network using Numpy in Python without relying on frameworks like TensorFlow or PyTorch, focusing on the implementation of ReLU activation, weight initialization, and gradient descent for optimization.