
Unlocking Creativity with Azure OpenAI
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This chapter encompasses crucial aspects of operationalizing AOAI, including monitoring various metrics such as the number of API calls, latency, sum of prompt tokens, and completion tokens etc. Additionally, it discusses AOAI resource quotas, outlining different limits across resources and how to manage and allocate quotas effectively. Furthermore, the chapter delves into the reserved instance concept of AOAI, known as PTU, which is vital for any production workload. Lastly, it explores scaling AOAI using multiple endpoints, along with HA and DR strategies, all essential components for building enterprise-level generative AI applications.
In the upcoming chapter, we will discuss the concept of prompt engineering, an essential cornerstone in the development and optimization of generative AI models. Prompt engineering encompasses a diverse array of techniques aimed at refining and tailoring the input prompts provided to these models, thereby influencing the quality, coherence...