Harvey Maddocks Greetings & Welcome to Microsoft Q&A forum!
I understand that you are having issues with GPT4o model slow response times.
If you are using GPT4 model then latency is expected considering that gpt-4 has more capacity than the gpt-3.5 version. As of now, we do not offer Service Level Agreements (SLAs) for response times from the Azure OpenAI service.
This article talks about Azure OpenAI service about improving the latency performance. You can control to improve the performance like Model selection, Generation size and Max tokens, streaming etc.
Here are some of the best practices to lower latency:
- Model latency: If model latency is important to you we recommend trying out our latest models in the GPT-3.5 Turbo model series.
- Lower max tokens: OpenAI has found that even in cases where the total number of tokens generated is similar the request with the higher value set for the max token parameter will have more latency.
- Lower total tokens generated: The fewer tokens generated the faster the overall response will be. Remember this is like having a for loop with
n tokens = n iterations
. Lower the number of tokens generated and overall response time will improve accordingly. - Streaming: Enabling streaming can be useful in managing user expectations in certain situations by allowing the user to see the model response as it is being generated rather than having to wait until the last token is ready.
- Content Filtering improves safety, but it also impacts latency. Evaluate if any of your workloads would benefit from modified content filtering policies.
Please let me know if you have any further queries.