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Building AI Applications with Microsoft Semantic Kernel

You're reading from   Building AI Applications with Microsoft Semantic Kernel Easily integrate generative AI capabilities and copilot experiences into your applications

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781835463703
Length 252 pages
Edition 1st Edition
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Author (1):
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Lucas A. Meyer Lucas A. Meyer
Author Profile Icon Lucas A. Meyer
Lucas A. Meyer
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Table of Contents (14) Chapters Close

Preface 1. Part 1:Introduction to Generative AI and Microsoft Semantic Kernel
2. Chapter 1: Introducing Microsoft Semantic Kernel FREE CHAPTER 3. Chapter 2: Creating Better Prompts 4. Part 2: Creating AI Applications with Semantic Kernel
5. Chapter 3: Extending Semantic Kernel 6. Chapter 4: Performing Complex Actions by Chaining Functions 7. Chapter 5: Programming with Planners 8. Chapter 6: Adding Memories to Your AI Application 9. Part 3: Real-World Use Cases
10. Chapter 7: Real-World Use Case – Retrieval-Augmented Generation 11. Chapter 8: Real-World Use Case – Making Your Application Available on ChatGPT 12. Index 13. Other Books You May Enjoy

Summary

In this chapter, we introduced the planner, a powerful function that allows users to execute very complex workflows with minimal effort on the developer’s part. We learned when to use the planner and what the potential issues are. We also learned how to use the planner, as well as how to write descriptions for the functions in our plugins in a way that makes it easier for the planner to combine them. We then saw a longer example of how to use the planner to let a user combine native and semantic functions.

In the next chapter, we will explore ways to make external data available to Semantic Kernel. Later we will pair search with external data to allow models to use large amounts of data that exceed models’ context windows.

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