Introduction to Generative AI
Artificial Intelligence
Book Details
Book Title
Introduction to Generative AI
Author
Numa Dhamani, Maggie Engler
Publisher
Manning Publications
Publication Date
2024
ISBN
9781633437197
Number of Pages
475
Language
English
Format
File Size
3MB
Subject
Artificial Intelligence
Table of Contents
- inside front cover
- Introduction to Generative AI
- Copyright
- dedication
- contents
- front matter
- foreword
- preface
- acknowledgments
- about this book
- about the author
- about the cover illustration
- 1. Large language models: The power of AI
- Evolution of natural language processing
- The birth of LLMs: Attention is all you need
- Explosion of LLMs
- What are LLMs used for?
- Where do LLMs fall short?
- Revolutionizing dialogue: Conversational LLMs
- Summary
- 2. Training large language models
- How are LLMs trained?
- The unexpected: Emergent properties of LLMs
- What’s in the training data?
- Summary
- 3. Data privacy and safety with LLMs
- Safety-focused improvements for LLM generations
- Navigating user privacy and commercial risks
- Understanding the rules of the road: Data policies and regulations
- Summary
- 4. The evolution of created content
- The rise of synthetic media
- Generative AI: Transforming creative workflows
- Intellectual property in the LLM era
- Summary
- 5. Misuse and adversarial attacks
- Cybersecurity and social engineering
- Information disorder: Adversarial narratives
- Political bias and electioneering
- Why do LLMs hallucinate?
- Misuse of LLMs in the professional world
- Summary
- 6. Accelerating productivity: Machine-augmented work
- Using LLMs in the professional space
- LLMs as a programming sidekick
- LLMs in daily life
- Generative AI’s footprint on education
- Detecting AI-generated text
- How LLMs affect jobs and the economy
- Summary
- 7. Making social connections with chatbots
- Chatbots for social interaction
- Why humans are turning to chatbots for relationship
- The good and bad of human-chatbot relationships
- Charting a path for beneficial chatbot interaction
- Summary
- 8. What’s next for AI and LLMs
- Where are LLM developments headed?
- Social and technical risks of LLMs
- Using LLMs responsibly: Best practices
- AI regulations: An ethics perspective
- Toward an AI governance framework
- Summary
- 9. Broadening the horizon: Exploratory topics in AI
- The quest for artificial general intelligence
- AI sentience and consciousness?
- How LLMs affect the environment
- The game changer: Open source community
- Summary
- references
- index
- inside back cover