List of Contributors

Chapters in this book

1. Frontmatter I
2. Preface V
3. Contents VII
4. About the Editors IX
5. List of Contributors XI
6. 1 Unveiling the Power of Generative AI: A Journey into Large Language Models 1
7. 2 Early Roots of Generative AI Models and LLM: A Diverse Landscape 23
8. 3 Generative AI Models and LLM: Training Techniques and Evaluation Metrics 43
9. 4 Importance of Prompt Engineering in Generative AI Models 69
10. 5 LLM Pretraining Methods 93
11. 6 LLM Fine-Tuning: Instruction and Parameter-Efficient Fine-Tuning (PEFT) 117
12. 7 Reinforcement Learning from Human Feedback (RLHF) 135
13. 8 Exploring the Applications on Generative AI and LLM 155
14. 9 Bias and Fairness in Generative AI 177
15. 10 Future Directions and Open Problems in Generative AI 193
16. 11 Optimizing Sustainable Project Management Life Cycle Using Generative AI Modeling 213
17. 12 Generative AI and LLM: Case Study in Finance 231
18. 13 Generative AI and LLM: Case Study in E-Commerce 253
19. Index 273