From the course: Complete Guide to Microsoft Copilot for Security: Empower and Protect the Security Operations Center (SOC) by Microsoft Press

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2.4 Compound AI models

2.4 Compound AI models

- So we've covered the monolithic AI models. Now let's talk a little bit more about compound AI models, those ones that are built as a more distributed system. And let's start with some of the advantages that go into a compound AI model and system. Some of the advantages around that they're connected to other pieces and parts. We can connect this in, we can plug it in and stack those with those modular blocks of other different areas. So it could be something like a semantic index, it could be something that has an external data set, it could be something that calculates better than what the model can do. And then we can also stack on other specialized models with a compound AI system to bring in additional functionality. We can also then build a prompt and suggestion engine. We'll talk a little bit more about where that chat bar came from in the follow-on sessions, but that's where you can actually interact with these models in something more than just an API, makes it very modular…

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