Tokenization is the fundamental process behind natural language processing in AI models and is the core of the functioning of OpenAI’s powerful GPT models.
The text you enter as prompt and the amount of generated text is converted into tokens and then the GPT model price is calculated based on the rate.
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What are Tokens?
Tokens, in the context of language processing, are the building blocks that enable machines to comprehend and generate human-like text. They can range from entire words to smaller subword units, each carrying unique meaning within a given language.
Tokenization Process in OpenAI
OpenAI’s tokenization process involves breaking down input text into individual tokens, allowing the model to analyze and generate responses effectively. This method distinguishes between whole words and subword units, enabling a more nuanced understanding of language.