Large language models like GPT-4 are like super-smart text detectives who know how sentences work.
Imagine you're telling a story to your friend, and every time you say a word, your friend guesses the next one. That's kind of what GPT-4 does, but it’s doing this with millions of words it has learned from reading lots of books, websites, and stories.
How It Knows What Comes Next
GPT-4 uses something like a big memory bank filled with patterns. When you type in a sentence, it looks at the words before and tries to figure out which word is most likely to come next. It’s not just picking one word, it's thinking about all the possible choices and choosing the best fit.
How It Builds Whole Sentences
Once it picks the next word, it keeps going, like a sentence builder who never stops working. It adds more words one by one, always looking at what came before to decide what makes sense now. This is how it can write whole paragraphs that feel natural and clear, even when it's making things up on the spot!
It’s like having a friend who knows every story ever told, and they’re helping you tell your own!
Examples
- A child learns to write by copying sentences from a book.
- A dog follows a trail of treats to find its favorite toy.
- A chef tastes ingredients and knows what dish to make.
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See also
- How do large language models like GPT-4 actually generate text?
- How do large language models actually generate text?
- How do large language models like GPT-4 actually work?
- How do large language models generate human-like text?
- How do large language models actually create new text?