فهرست مطالب

• Title Page
• Copyright and Credits
• Dedications
• Foreword
• Contributors
• Table of Contents
• Preface
• Part 1: Foundations of Generative AI and the Evolution of Large Language Models
• Chapter 1: Understanding Generative AI: An Introduction
• Generative AI
• Distinguishing generative AI from other AI models
• Looking back at the evolution of generative AI
• Looking ahead at risks and implications
• Introducing use cases of generative AI
• The future of generative AI applications
• Summary
• References
• Chapter 2: Surveying GenAI Types and Modes: An Overview of GANs, Diffusers, and Transformers
• Understanding General Artificial Intelligence (GAI) Types
• Deconstructing GAI methods
• Applying GAI models
• Summary
• References
• Chapter 3: Tracing the Foundations of Natural Language Processing and the Impact of the Transformer
• Early approaches in NLP
• The emergence of the Transformer in advanced language models
• Evolving language models
• Implementing the original Transformer
• Summary
• References
• Chapter 4: Applying Pretrained Generative Models: From Prototype to Production
• Prototyping environments
• Transitioning to production
• Mapping features to production setup
• Setting up a production-ready environment
• Local development setup
• Model selection
• Updating the prototyping environment
• Quantitative metrics evaluation
• Responsible AI considerations
• Final deployment
• Summary
• Part 2: Practical Applications of Generative AI
• Chapter 5: Fine-Tuning Generative Models for Specific Tasks
• Foundation and relevance
• PEFT
• In-context learning
• Fine-tuning versus in-context learning
• Practice project: Fine-tuning for Q&A using PEFT
• Summary
• References
• Chapter 6: Understanding Domain Adaptation for Large Language Models
• Demystifying domain adaptation
• Practice project: Transfer learning for the finance domain
• Summary
• References
• Chapter 7: Mastering the Fundamentals of Prompt Engineering
• The shift to prompt-based approaches
• Basic prompting
• Elevating prompts
• Advanced prompting in action
• Practice project: Implementing RAG with LlamaIndex using Python
• Summary
• References
• Chapter 8: Addressing Ethical Considerations and Charting a Path Toward Trustworthy Generative AI
• Ethical norms and values in the context of generative AI
• Investigating and minimizing bias
• Constrained generation and eliciting trustworthy outcomes
• Understanding jailbreaking and harmful behaviors
• Practice project: Minimizing harmful behaviors with filtering
• Summary
• References
• Index
• About Packt
• Other Books You May Enjoy