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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

Product type Paperback

Published in Jun 2024

Publisher Packt

ISBN-13 9781835463703

Length 252 pages

Edition 1st Edition

Languages

C#

Tools

ChatGPT

Concepts

GPT/LLMs

Author (1):

Lucas A. Meyer

View More author details

Table of Contents (14) Chapters

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

Why subscribe?

13. Other Books You May Enjoy

To get the most out of this book

Readers will have to be familiar with programming in either Python or C#, and familiar with creating and connecting to AI services on the cloud.

Software/hardware covered in the book	Operating system requirements
Python 3.11	Windows, macOS, or Linux
.NET 8
OpenAI GPT-3.5 and GPT-4

For Chapter 7, you will need to create an index in Azure AI search. There is a free tier. For Chapter 8, to create a GPT to share with others, you will need a ChatGPT subscription.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

The rest of the chapter is locked

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Authors (1)

Lucas A. Meyer

Lucas A. Meyer

Lucas A. Meyer is a Computer Scientist and Financial Economist with over two decades of experience in technology. Lucas joined Microsoft in 2002 to work with databases in Finance, joined Amazon in 2020 to work with fraud detection and prevention, and returned to Microsoft in 2022 as a Principal Research Scientist in the Microsoft's AI for Good Lab, where he works with Large Language Models (LLMs) and the Microsoft Semantic Kernel daily. Lucas' first NLP project, released in 2016, was a chatbot that streamlined several corporate finance operations and won the Adam Smith Award from London's Treasury Today. Lucas has an MBA and an M.Sc. in Finance from the University of Washington in Seattle.

See other products by Lucas A. Meyer

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