
Unlocking Creativity with Azure OpenAI
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In the previous chapter, we learned about using Azure Communication Services. We practically applied this creating a synthetic chat between a helper and a customer using ChatGPT (gpt-3.5-turbo
). We then looked at the chat to understand what was said.
Even though we mainly focused on written messages, it’s good to know that Azure Communication Services can do more than just text. It can handle voice, video, or even a mix of different media as inputs. This flexible approach helps us learn important information from customer content. The stats we obtain from this analysis can guide us in making our products better in the future. By trying different types of conversations, we can find where customers are having trouble and use that information to make our products and services better.
Imagine you’re a teacher, and you’ve got a student named Taylor who’s just starting to learn how to code. Taylor is excited but a bit confused...