Like counting blocks
Think of tokens as colorful building blocks. Each block has one or two letters on it, sometimes just a letter, like "a" or "b", other times more than one, like "cat" or "dog". A computer looks at these blocks to understand what the whole sentence means.
Why token counts matter
If you're writing a message and the computer can only use 100 blocks, that’s like having only 100 words in your letter. But if it has more, say 500 blocks, then you can write much longer messages!
So, token counts are just how many little pieces of text a computer uses to read and understand what you're saying, like counting how many blocks you used to build your tower.
Examples
- Token counts matter because they help computers understand and process language more efficiently.
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See also
- How do AI chatbots learn from vast amounts of data?
- How do advanced AI models create realistic voice clones?
- How do AI models learn to generate human-like text?
- How do large language models like ChatGPT actually learn?
- How do large language models learn to talk like humans?