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The Probability of Voting in a Large Language Model
The GPT is based on a vocabulary of 50,000 words. It looks at some words from the text and finds similar words in real text that it was provided to figure out how it figures out what to produce next. The model randomly selects which word to come next by voting for each one. Jesse: How many words do you think this system knows?