Part 11/16:
Today, Google's algorithms are far more complex, incorporating attention mechanisms and neural networks, but at their core still lie principles borrowed from Markov models—predicting what comes next based on the current context.
From Predicting Text to Language Models
Claude Shannon, the father of information theory, extended this idea into natural language processing. He experimented with predicting the next word in a sentence based on previous words, initially using simple Markov models relying only on the last word, which yielded partial but nonsensical predictions.