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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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Toc

Table of Contents (14) Chapters Close

Preface 1. Part 1:Introduction to Generative AI and Microsoft Semantic Kernel FREE CHAPTER
2. Chapter 1: Introducing Microsoft Semantic Kernel 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

Technical requirements

To complete this chapter, you will need to have a recent, supported version of your preferred Python or C# development environment:

  • For Python, the minimum supported version is Python 3.10, and the recommended version is Python 3.11
  • For C#, the minimum supported version is .NET 8

In this chapter, we will call OpenAI services. Given the amount that companies spend on training these LLMs, it’s no surprise that using these services is not free. You will need an OpenAI API key, obtained either directly through OpenAI or Microsoft, via the Azure OpenAI service.

If you are using .NET, the code for this chapter is at https://github.com/PacktPublishing/Building-AI-Applications-with-Microsoft-Semantic-Kernel/tree/main/dotnet/ch8.

If you are using Python, the code for this chapter is at https://github.com/PacktPublishing/Building-AI-Applications-with-Microsoft-Semantic-Kernel/tree/main/python/ch8.

To create your custom GPT, you will need an account with OpenAI.

You can install the required packages by going to the GitHub repository and using the following: pip install -r requirements.txt.

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