Meyer Building AI Applications with Microsoft Semantic Kernel

Easily integrate generative AI capabilities and copilot experiences into your applications
1. Auflage 2024
ISBN: 978-1-83546-959-0
Verlag: De Gruyter
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 252 Seiten

In the fast-paced world of AI, developers are constantly seeking efficient ways to integrate AI capabilities into their apps. Microsoft Semantic Kernel simplifies this process by using the GenAI features from Microsoft and OpenAI.
Written by Lucas A. Meyer, a Principal Research Scientist in Microsoft's AI for Good Lab, this book helps you get hands on with Semantic Kernel. It begins by introducing you to different generative AI services such as GPT-3.5 and GPT-4, demonstrating their integration with Semantic Kernel. You'll then learn to craft prompt templates for reuse across various AI services and variables. Next, you'll learn how to add functionality to Semantic Kernel by creating your own plugins. The second part of the book shows you how to combine multiple plugins to execute complex actions, and how to let Semantic Kernel use its own AI to solve complex problems by calling plugins, including the ones made by you. The book concludes by teaching you how to use vector databases to expand the memory of your AI services and how to help AI remember the context of earlier requests. You'll also be guided through several real-world examples of applications, such as RAG and custom GPT agents.
By the end of this book, you'll have gained the knowledge you need to start using Semantic Kernel to add AI capabilities to your applications.

Autoren/Hrsg.

Meyer, Lucas A.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Webprogrammierung

Inhaltsverzeichnis

Table of Contents - Introducing Microsoft Semantic Kernel
- Creating Better Prompts
- Extending Semantic Kernel
- Performing Complex Actions by Chaining Functions
- Programming with Planners
- Adding Memories to Your AI Application
- Real-World Use Case – Retrieval-Augmented Generation
- Real-World Use Case – Making Your Application Available on ChatGPT

Über Autor(innen)

Meyer Lucas A. :

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.