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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

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781836207252
Length 298 pages
Edition 1st Edition
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Table of Contents (18) Chapters Close

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

Common Failures of Generative AI

If you have just built your generative AI (GenAI) application, then you may be so fascinated by what it can do that you lose sight of answer quality and accuracy. Discovering how often GenAI is incorrect is a challenge in itself.

Many tend to believe that when a computer gives an answer, it gives an accurate answer—usually, more accurate than a human being. For example, most people feel relieved that machines, and not just people, fly airplanes today. Airplanes may be much safer now compared to 15 years ago because of this advancement, but when it comes to GenAI, the results are not nearly as accurate as the onboard systems of a flight craft.

This chapter takes a detailed look at the top five challenges with GenAI applications and why they occur. Understanding these challenges is crucial for developers to devise effective solutions. By the end of this chapter, you will have a good understanding of these challenges, how they influence your...

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