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Building AI Intensive Python Applications

You're reading from Building AI Intensive Python Applications Create intelligent apps with LLMs and vector databases

Product type Paperback

Published in Sep 2024

Publisher Packt

ISBN-13 9781836207252

Length 298 pages

Edition 1st Edition

Languages

Python

Tools

MongoDB

Concepts

Artificial Intelligence

Table of Contents (18) Chapters

Preface

1. Chapter 1: Getting Started with Generative AI FREE CHAPTER

2. Chapter 2: Building Blocks of Intelligent Applications

3. Part 1: Foundations of AI: LLMs, Embedding Models, Vector Databases, and Application Design

4. Chapter 3: Large Language Models

5. Chapter 4: Embedding Models

6. Chapter 5: Vector Databases

7. Chapter 6: AI/ML Application Design

8. Part 2: Building Your Python Application: Frameworks, Libraries, APIs, and Vector Search

9. Chapter 7: Useful Frameworks, Libraries, and APIs

10. Chapter 8: Implementing Vector Search in AI Applications

11. Part 3: Optimizing AI Applications: Scaling, Fine-Tuning, Troubleshooting, Monitoring, and Analytics

12. Chapter 9: LLM Output Evaluation

13. Chapter 10: Refining the Semantic Data Model to Improve Accuracy

14. Chapter 11: Common Failures of Generative AI

15. Chapter 12: Correcting and Optimizing Your Generative AI Application

16. Other Books You May Enjoy

Appendix: Further Reading: Index

Why subscribe?

Part 1

Foundations of AI: LLMs, Embedding Models, Vector Databases, and Application Design

This set of chapters provides in-depth and practical knowledge on the techniques and principles underpinning AI-intensive applications. You will progress quickly from fundamental concepts to real-world use cases and learn best practices for building your AI solution.

This part of the book includes the following chapters:

Chapter 3, Large Language Models
Chapter 4, Embedding Models
Chapter 5, Vector Databases
Chapter 6, AI/ML Application Design

The rest of the chapter is locked

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