Chapter 20
Introduction to Prompt Engineering
Chapter 21
Few-Shot and Zero-Shot Prompting with LLMs
Chapter 22
Advanced Prompt Engineering Techniques
Chapter 23
Testing the Quality of Large Language Models
Chapter 24
Interpretability and Explainability in LLMs
Chapter 25
Bias, Fairness, and Ethics in LLMs
Chapter 26
Federated Learning and Privacy-Preserving LLMs
Chapter 27
The Future of Large Language Models
Comments