The Chain Rule of Probability is a powerful tool behind recent advances in Large Language Models. By multiplying together the probabilities of many smaller events, we can compute the probability of a complex event made up of those smaller events.
p(abc) = p(c|ab) * p(b|a) * p(a)

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