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Book Overview & Buying
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Table Of Contents
Microsoft Power Platform Solutions Architect's Handbook - Second Edition
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This chapter provided an architectural overview of Power Platform AI, beginning with AI Builder. We covered the key decision of choosing between prebuilt and custom models and reviewed the end-to-end solution lifecycle, from planning and licensing to deployment, as demonstrated through an invoice automation case study.
We then advanced to integrating Large Language Models (LLMs) like Azure OpenAI, detailing various integration patterns and the critical Retrieval-Augmented Generation (RAG) technique for grounding AI in enterprise data. We addressed governance, from security to cost monitoring, and illustrated these advanced concepts with a customer feedback analysis case study, showing how to build advanced, context-aware AI solutions.
In the next chapter, you will learn about Power Platform’s various Copilot capabilities.
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