[{"_1":2,"_42":-5,"_43":-5},"loaderData",{"_3":4,"_10":11,"_40":-5,"_41":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9},"user","shoppingCartId","toast","locale","en","routes/_store+/_readers+/email_author.$slug/route",{"_12":13,"_39":-5},"book",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNjIxOTc","title","Building effective LLM-based applications with Semantic Kernel","state","published","contactAuthorMethod","email","aboutText","

Want to build real applications with Large Language Models but tired of sifting through theoretical explanations? This hands-on guide shows you exactly how to integrate LLMs into production applications using Semantic Kernel and C#.

Drawing from my own trial-and-error experiences, I'll walk you through proven patterns and workflows that actually work—from basic prompt engineering to complex multi-agent systems.

You'll learn how to enhance LLMs with external tools, implement RAG for grounding responses in your data, and orchestrate sophisticated AI workflows. Through practical examples and case studies, you'll master the essential techniques for building reliable, scalable AI applications that solve real business problems.

Whether you're adding AI capabilities to existing enterprise software or building new AI-native applications, this book gives you the concrete patterns and battle-tested approaches you need to succeed with LLMs.

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