How LLMs work, part 2: the math of neural networks

Neural networks look like magic until you see the math, and the math is smaller than you think. This is part 2 of our series on how LLMs work. You will learn the handful of tools every model is built from (tensors, matrix multiplication, derivatives, gradients, a loss function and backpropagation), each with a small example and no heavy formulas.