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    Your first AI lesson

    How an AI picks each word, and why that explains almost everything else.

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    Listen to the explanation

    1. Think about how you finish someone’s sentence when you know where it’s going. If someone says, “Tomorrow I’m going to…”, your mind suggests a few options. A text AI does something similar, but with maths and on a huge scale.
    2. First, it looks at the context in front of it. In our example, the sentence starts with “For my next video, I want”. That context tells it that an action or an idea is likely to come next.
    3. Then it works out lots of possible ways to continue and gives each one a probability. It’s not picking between good or bad words: it’s comparing which fits best with everything it’s read so far.
    4. The option with the highest probability wins, gets added to the sentence, and the process starts again. That’s why you see one word, then another, until a full answer appears.
    5. This also explains why context matters so much. If you change the start or give more detail, the options the AI considers will change too.
    6. Keep this picture in mind: context, candidates, a choice, and a sentence that grows. You don’t need to understand the maths to get started; you do need to give it a good clue.
  • What does it really do?
  • Watch how the sentence grows
  • Put the cycle in order
  • True or false
  • The most likely
  • Complete a real prompt
  • True or false
  • Common mistake
  • The full recipe
  • Back to path

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