From the course: Microsoft Azure AI Engineer Associate (AI-102) Cert Prep by Microsoft Press

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Integrate generative AI into applications

Integrate generative AI into applications

- [Instructor] Well, let us count the ways to add GPT to our apps. The good news is that it's all still RESTful services. So we have REST API definitions, SDKs. We have the platform as a service, Azure Functions and Web Apps for hosting and for orchestration. I introduced you to the Azure AI Foundry in the previous lesson, and we'll continue to work with it today. And actually, we're kind of doing a really cool little mini sequence in the course. The next lesson here is actually going to be on observability with Azure Monitor and Application Insights. Very timely. What are some common use cases for these GPT-powered applications? Well, certainly for proprietary stuff, CRM, customer facing, customer support, IT support chat, form generation. Now, there's some additional infrastructure. When you're hosting a GPT model, you're thinking about token consumption, aren't you? I mentioned that in the previous lesson. You see GPT, T is transformer, that's the architecture. And that process of…

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