Before words become arrows
What Words as arrows builds on: why a computer needs words as numbers, when two arrows point the same way, subtracting one arrow from another, and analogies in plain words. About ten minutes.
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Before the network
What Machine learning 2 builds on: the logic gates again, what makes a neuron fire, what a feature is, and why a perfect score on practice questions can mislead. About ten minutes.
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Before the machine learns
What Machine learning 1 builds on: what a labelled example is, how a score decides spam or not, what "training" actually changes, and why you keep some examples back. About ten minutes.
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Before the dot product - Linear Algebra 2
The handful of ideas Linear algebra 2 builds on: multiplying matching parts, what a right angle means for two arrows, Pythagoras, and why "similar" can mean "pointing the same way". About ten minutes.
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AI Fundamentals: How Large Language Models Actually Work
Tokens, parameters, attention, hallucination — the mechanics behind ChatGPT and every model like it, explained once so the vocabulary stops being intimidating.
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