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Cross Entropy Loss From Scratch - TutorialIn this tutorial you'll learn how cross entropy loss works in large language models. We cover why LLMs assign probabilities to tokens, how the negative log likelihood formula penalizes wrong predictions, worked examples showing how loss changes with different probability values, and how backpropagation uses this loss to train the model. By the end you'll understand exactly how LLMs learn to predict the next token.0:00 Introduction — tokens and next token
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