6 tokens per minute|How do azure OpenAI rate limits work?,tamil hot sex vedios

Tokens-per-minute (TPM) is a configurable limit set per model per region within the API that provides a best prediction of your expected token u6 tokens per minutesage over time. The requests-per-minute (RPM) rate limit is also set proportionally。

Tokens-Per-Minute (TPM) allocation is not related to the max input token limit of a model. Model input token limits are defined in the and are not impacted by changes made to Tokens per minute (TPM).

Understanding rate limits in openai api Discussion Assume u have a Requests per minute of 10000 and tokens per minute of 1000000 for gpt 3.5 and u have set up a semaphore of 100。

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Its great softwa6 tokens per minutere but theres a really nasty little bug in the built-in logbook. the log frequencies are not good, there is a slight drift (EX 14 075 684 or instead of 14 074 000) and that on all frequencies, I tested WSJTX and MSHV and there is no frequency drift, the frequency in the log is correct (Ex: 14,074,000) if you can correct this bug the。

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