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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 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

Running a simple prompt

This section assumes you completed the prior sections and builds upon the same code. By now, you should have instantiated Semantic Kernel and loaded both the GPT-3.5 and the GPT-4 services into it in that order. When you submit a prompt, it will default to the first service, and will run the prompt on GPT-3.5.

When we send the prompt to the service, we will also send a parameter called temperature. The temperature parameter goes from 0.0 to 1.0, and it controls how random the responses are. We’re going to explain the temperature parameter in more detail in later chapters. A temperature parameter of 0.8 generates a more creative response, while a temperature parameter of 0.2 generates a more precise response.

To send the prompt to the service, we will use a method called create_semantic_function. For now, don’t worry about what a semantic function is. We’re going to explain it in the Using generative AI to solve simple problems section...

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