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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 2. Chapter 2: Building Blocks of Intelligent Applications FREE CHAPTER 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

AI/ML APIs

When developing GenAI applications, developers have access to a variety of APIs that can significantly enhance the capabilities and efficiency of their projects. As these APIs are widely used, they offer performance, stability, and consistency across thousands of projects, ensuring that developers don’t need to reinvent the wheel. Here are just some of the functionalities that these APIs offer:

  • Text generation and processing: APIs such as OpenAI, Hugging Face, and Google Gemini API enable developers to generate coherent and contextually appropriate text, which is crucial for applications such as content creation, dialogue systems, and virtual assistants.
  • Translation capabilities: The Google Cloud Translation API, Azure AI Translator, and Amazon Translate API provide robust translation capabilities, making GenAI applications multilingual and globally accessible.
  • Speech synthesis and recognition: Services such as Google Text-to-Speech, Amazon Polly,...
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