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。
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。
Yes, your babbage limit would effectively be 25M tokens per minute. If you are limited to 3,6 tokens per minute000 RPM at 2048 tokens per prompt, without batching you are correct that you。
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