Azure OpenAI Prompt vs Completion API Demystified and Compared

Azure OpenAI Prompt and Completion APIs are two powerful tools that can help you generate human-like text. The Prompt API is designed to generate text based on a prompt, while the Completion API is designed to complete a partially written text.

The Prompt API allows you to input a prompt and receive a generated text as a response. This can be useful for tasks such as language translation, text summarization, and content generation.

The Completion API, on the other hand, is designed to complete a partially written text. This can be useful for tasks such as text completion, chatbot development, and language translation.

Understanding the differences between these two APIs is crucial to choosing the right one for your project.

If this caught your attention, see: Prompt Flow Azure

You can access the key distinctions between Azure OpenAI and OpenAI by checking out a handy table summarised in the article.

The table highlights the main differences between these two advanced AI technologies.

At the time of writing, the table is available for reference.

To confirm how data is stored, see the OpenAI FAQs.

Azure OpenAI training is available through an Introduction course.

For the latest state of OpenAI's operational systems, visit the OpenAI Status page.

Azure OpenAI Service is available in various regions, which can be explored on the regional availability page.

OpenAI models are supported in multiple countries and territories, listed on the supported countries and territories page.

The Results are in, and they're quite telling. GPT-4 via OpenAI API was 2.8 times slower than Microsoft Azure on average.

The performance difference between the two is extreme, with Azure significantly outperforming OpenAI. Azure generated tokens per second at a rate of 2.77 times faster than OpenAI.

One thing that stood out was the consistency of Azure's responses. Even with a temperature of 0 on both services, OpenAI returned variations in the response and number of tokens generated. Azure, on the other hand, was far more consistent in its response.

The variance in tokens generated per second is most pronounced in the "Custom system prompt, 10 message thread, technical" test, with Azure generating tokens per second at a rate of 3.54 times more than that of OpenAI.

The smallest variance was in the "Custom system prompt, single message, technical" test, with Azure generating tokens at a rate of 2.03 times faster than that of OpenAI.

Discover more: Azure Openai Limitations

The relationship between Microsoft and OpenAI is well-known, but the distinction between the conventional OpenAI services, exemplified by ChatGPT (often accessed through platforms like Bing), and Azure OpenAI, sometimes gets blurred.

This blurring of lines can be attributed to the fact that the relationship between Microsoft and OpenAI is well-known.

Microsoft has a significant stake in OpenAI, which can make it difficult to distinguish between the two services.

The conventional OpenAI services, like ChatGPT, are often accessed through platforms like Bing, while Azure OpenAI is a separate entity.

This distinction is important to understand when comparing Azure OpenAI prompts and completions.

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