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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

Summary

In this chapter, you looked at the evolution of AI/ML frameworks in the Python space as LLM-powered applications have gained prominence. You also learned why Python remains a top choice for building modern LLM-powered applications. You reviewed the most popular Python frameworks, libraries, and APIs that can assist you in the different stages of GenAI application development.

The GenAI space is evolving so rapidly that by the time this book is published, there will probably be more libraries available, more APIs in use, and the framework’s capabilities will have expanded. You owe it to yourself to do your own due diligence about which framework is best suited for your business needs, but also make sure to choose one that is appropriately supported. As with any rapidly evolving technology, some of the tools and technologies that are in existence today will be gone tomorrow. This chapter has tried, therefore, to only include those that have the community, enablement...

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