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Understanding the Mechanics of Neural Networks
This chapter explores the structure and function of artificial neural networks, using visual analogies to explain how neurons interact through weighted connections. It emphasizes the importance of weights and biases in training these complex models, particularly in systems like GPT that utilize billions of parameters.