Large language models like ChatGPT learn to respond by practicing with lots of examples, just like you learn to talk by listening and repeating.
Imagine you're learning how to say "hello" in different ways. At first, you might say "hi," then "howdy," then "good morning." Over time, you get better at choosing the right greeting based on who you're talking to and when. That’s kind of like what happens with ChatGPT.
Learning by example
ChatGPT starts by reading a huge number of sentences, millions of them! These are like the examples it uses to learn. Each sentence shows how people talk, so ChatGPT can start to understand patterns in language, just like you pick up new words when you read or talk with friends.
Practicing until it's good
Once ChatGPT has seen enough examples, it practices by trying to write its own sentences. If it makes a mistake, like saying "goodnight" when someone says "hello", it learns from that mistake and gets better over time, just like you do when you practice speaking every day.
Examples
- Large language models learn by being exposed to millions of sentences online.
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See also
- How do large language models learn to talk like humans?
- How do large language models like ChatGPT actually learn?
- What is Large language models (LLMs)?
- How do AI models learn to generate human-like text?
- How do AI language models generate text like humans?