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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。

As a matter of comparison: - I write 90 words per minute, which is equal to 1.5 word per second. Using Anthropics ratio (100K tokens = 75k words), it means I write 2 tokens per second.

Yes, your babbage limit would effectively be 25M tokens per minute. If you are limited to 3,000 RPM at 2048 tokens per prompt, without batching you are correct tha6 tokens per minutet you。

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