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For example, if the "top_p" value is set to 0.8, the model looks at the most probable words until their combined probability reaches 0.8. Then, it randomly selects one of those words to use in the response.

Using a higher value like 0.8 allows the model to have more choices and be more creative. It might use more unusual or unexpected words. But if you use a lower value like 0.2, the model will stick to the most probable and common words, resulting in more focused and predictable responses.

So, by adjusting the "top_p" parameter, developers can decide how adventurous or precise they want the model's answers to be, finding the right balance for their specific needs.

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Max_tokens

The "max_tokens" parameter in the ChatGPT API allows developers to control the maximum length of the generated response. It determines the number of tokens (words or characters) that the response can have.

Tokens are small units of text that the model understands. For example, a token could be a single word like "cat" or a part of a word like "ca" and "t" separated into two tokens.

By setting the "max_tokens" parameter to a specific value, developers can limit the length of the response generated by ChatGPT. For example, if "max_tokens" is set to 50, the response will be truncated or cut off after it reaches 50 tokens. This ensures that the response does not become too long and overwhelming.

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