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Articles tagged with #neural-networks
Pick the one idea that shows up inside every modern AI system — LLMs, recommenders, search, vision. It's this one. Words are points. Images are points. You are a point. Here is why that matters.
A neural network learns by feeling the slope under its feet and taking a tiny step downhill. Do that a billion times and you have a trained model. One hill, no calculus.
One neuron is almost useless. A stack of them recognises a cat. The difference is an abstraction ladder — the single most important reason deep learning works at all.
A neuron in a neural network is not a brain cell. It's a tiny voting committee that decides how much to shout. Once you drop the biology, the whole thing gets dramatically less scary.
