Part 3
Optimizing AI Applications: Scaling, Fine-Tuning, Troubleshooting, Monitoring, and Analytics
This set of chapters shares techniques and practices for evaluating your AI application as well as strategies and expert insights for improving your application, avoiding pitfalls, and ensuring that your application continues to function optimally despite rapid technological changes.
This part of the book includes the following chapters:
- Chapter 9, LLM Output Evaluation
- Chapter 10, Refining the Semantic Data Model to Improve Accuracy
- Chapter 11, Common Failures of Generative AI
- Chapter 12, Correcting and Optimizing Your Generative AI Application