OpenAI's large language models (sometimes referred to as GPT's) process text using tokens, which are common sequences of characters found in a set of text. The models learn to understand the statistical relationships between these tokens, and excel at producing the next token in a sequence of tokens.
You can use the tool below to understand how a piece of text might be tokenized by a language model, and the total count of tokens in that piece of text.
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