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Generative AI and LLMs : Natural Language Processing and Generative Adversarial Networks.
- Format:
- Book
- Author/Creator:
- S., Balasubramaniam.
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Machine learning.
- Physical Description:
- 1 online resource (0 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Berlin/Boston : Walter de Gruyter GmbH, 2024.
- Summary:
- This book explores the rapidly advancing fields of Generative Artificial Intelligence (GAI) and Large Language Models (LLM), offering a comprehensive examination of their development, applications, and ethical implications. It delves into the historical evolution of these technologies, training methods, and challenges faced by GAI models. The book covers essential topics such as prompt engineering, fine-tuning, and reinforcement learning with human feedback. It also presents various case studies in finance and e-commerce, showcasing practical applications of GAI and LLM. The editors aim to provide readers with a deeper understanding of the transformative potential of these technologies and their impact on innovation and productivity. Targeted at researchers, practitioners, and students in the fields of artificial intelligence and machine learning, the book offers insights into future directions and open problems in GAI. Generated by AI.
- Contents:
- Preface
- Contents
- About the Editors
- List of Contributors
- 1 Unveiling the Power of Generative AI: A Journey into Large Language Models
- 2 Early Roots of Generative AI Models and LLM: A Diverse Landscape
- 3 Generative AI Models and LLM: Training Techniques and Evaluation Metrics
- 4 Importance of Prompt Engineering in Generative AI Models
- 5 LLM Pretraining Methods
- 6 LLM Fine-Tuning: Instruction and Parameter-Efficient Fine-Tuning (PEFT)
- 7 Reinforcement Learning from Human Feedback (RLHF)
- 8 Exploring the Applications on Generative AI and LLM
- 9 Bias and Fairness in Generative AI
- 10 Future Directions and Open Problems in Generative AI
- 11 Optimizing Sustainable Project Management Life Cycle Using Generative AI Modeling
- 12 Generative AI and LLM: Case Study in Finance
- 13 Generative AI and LLM: Case Study in E-Commerce
- Index Generated by AI.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 9783111425078
- 311142507X
- OCLC:
- 1456033026
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