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There are two principal rate limiting strategies within Azure OpenAI Service which we need to understand: Let’s delve into the details of these: TPMs are allocated to a model deployment (like gpt-35-turbo), defining the maximum。

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The OpenAI API has separate limits for requests per minute and tokens per minute. If youre hitting the limit on requests per minute, but have headroom on tokens per minute, you can increase your throughput by。

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