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Understand. Create. Check.
AI is a fill-in-the-blanks champion!
Let's see how a chat AI (a language model) makes its answers.
What would you put in the blank? Tap an example.
This morning, I __________.
These choices are prepared examples. Tap your selected example again to bring back the blank.
A plausible continuation can still be wrong. Check important answers.
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Does AI really make replies this way?
Yes, predicting what comes next is the basic idea! A language model uses patterns learned during training, your input, and the text so far to calculate what could come next. It chooses a small piece of text called a token, which can be a word or part of one, then repeats the process to build a reply.
Filling a blank is an analogy. In a chat reply, the model usually keeps adding tokens at the end. It doesn't always choose the most likely one: it can also sample from several candidates according to their probabilities.
Then what does “thinking” or “reasoning” mean?
People use these words when AI works through a problem in steps. Underneath, it runs calculations using learned patterns and its input. Fluent language alone is no reason to treat it as a person with feelings or intentions.
Understand AI. Check its answers.
How a language model produces an answer