Building AI Intensive Python Applications

Table of Contents

1. Getting Started with Generative AI
2. Building Blocks of Intelligent Applications
3. Large Language Models
4. Embedding Models
5. Vector Databases
6. AI/ML Application Design
7. Useful Frameworks, Libraries, and APIs
8. Implementing Vector Search in AI Applications
9. LLM Output Evaluation
10. Refining the Semantic Data Model to Improve Accuracy
11. Common Failures of Generative AI
12. Correcting and Optimizing Your Generative AI Application