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articles/ai-services/openai/faq.yml

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If reducing temperature to less than 1 does not reduce the frequency of this error an alternative workaround is set presence/frequency penalties and logit biases to their default values. In some cases, it may help to set `top_p` to a non-default, lower value to encourage the model to avoid sampling tokens with lower probability tokens.
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Another way to solve this issue is to add logit_bias in the payload. For example, if error is `Unexpected special token: 100266`, then we can add "logit_bias": {100266:-100} to reduce the issue by using token 100266 mentioned in the service side error message.
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We noticed charges associated with API calls that failed to complete with status code 400. Why are failed API calls generating a charge?
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