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Question $26$ of $40$

Reasoning engines like ChatGPT used something called a large language model to help the system come up with a human$-$like response. How do these large language models generate text?

They rank the words in a response and then go through them in a linear fashion.

They crawl the web in real time to train the response to match your prompt.

They use probability to predict the next words in response to a given prompt.

They string together several search engines to create one massive response database.