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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

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

Why subscribe?

13. Other Books You May Enjoy

Part 2: Creating AI Applications with Semantic Kernel

In this part, we will go deep inside Semantic Kernel and learn how to use it to solve problems. We start by adding functions to a kernel, and then we use functions to solve a problem. The real power comes next when we ask the kernel to solve a problem on its own. Finally, we learn how to keep history for our kernel using memory.

This part includes the following chapters:

Chapter 3, Extending Semantic Kernel
Chapter 4, Performing Complex Actions by Chaining Functions
Chapter 5, Programming with Planners
Chapter 6, Adding Memories to Your AI Application

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.

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