Description
Book SynopsisTable of ContentsIntroduction 1
About This Book 1
Foolish Assumptions 2
Icons Used in This Book 3
Beyond the Book 3
Where to Go from Here 3
Chapter 1: Introducing ChatGPT 5
Setting Up an Account 6
Comparing ChatGPT, Search Engines, and Analytics 7
Understanding What ChatGPT Is and Isn’t 9
Unwrapping ChatGPT fears 10
Competing with ChatGPT for your job 12
Redefining the Chatbot with ChatGPT and ChatGPT Plus 14
Comparing the two versions 16
Sampling its many uses 16
Discovering other forms of GPT 18
Grabbing Headlines and Disrupting Businesses 20
Grokking that ChatGPT is a harbinger of exponential change 20
Weighing the initial effect on existing businesses and industries 21
Bracing for future upheaval 22
Breaking the spell of heartless machine overlords 23
Opening the Door for Bigger AI Products 24
Categorizing types of Generative AI 24
Understanding ChatGPT’s creator, OpenAI 25
Chapter 2: Discovering How ChatGPT Works 27
What’s Different About ChatGPT 27
Peeking at the ChatGPT Architecture 29
Discovering the supercomputer and GPUs underneath 29
Considering the importance of transformers 31
Setting the stage: training the model 32
Grasping the importance of the dialogue format 34
Pondering ChatGPT’s limitations 34
Increasing the Number of Versions and Integrations 37
Glimpsing ChatGPT in Microsoft add-ins 40
Mainstreaming ChatGPT via the power of an API 41
Checking out early ChatGPT API adopters 42
Expanding the field of extensions 43
Building New Businesses Based on ChatGPT 44
Chapter 3: Writing Prompts for ChatGPT 47
Prompting Basics 48
Starting a chat 50
Reviewing your chat history and more 52
Understanding Prompt Engineering 54
Circumventing Token Limits and User History Storage Issues 55
Thinking in Threads 57
Chaining Prompts and Other Tips and Strategies 58
Chapter 4: Understanding GPT Models in ChatGPT 61
Summarizing Model Progress 61
Comparing GPT-4 to Earlier ChatGPT Models 62
Choosing ChatGPT Models 64
Learning about GPT-4 Advancements 67
Adjusting to GPT-4’s Limitations 68
Chapter 5: Warnings, Ethics, and Responsible AI 71
Making Responsible AI 71
Troubling developments 72
Protecting humans from humans using AI 74
Understanding the good, the bad, and the ugly 75
Heeding OpenAI Warnings 75
Considering Copyright and IP Protections 77
Searching for Predictability 78
Reaching for reliability 78
Hallucinating versus accuracy 79
Humanizing the machine 81
Mitigating Risks and Liability 83
Chapter 6: Probing Professional and Other Uses for ChatGPT 87
Finding ChatGPT Embedded in Software 88
Locating ChatGPT in business software 88
Integrating with everything, everywhere, all at once 93
Zooming in on ChatGPT in virtual meetings 95
Letting ChatGPT summarize and translate 96
Searching for ChatGPT in other applications 97
Seeing ChatGPT in AR, VR, and the Metaverse 99
Discovering ChatGPT in search engines 101
Coding with ChatGPT and Copilot X 103
Learning Where to Use ChatGPT for Marketing 105
Retrieving Smart Answers for HR 106
Harnessing ChatGPT in Legal 106
Storytelling in Journalism 108
Consulting ChatGPT in Healthcare 109
Cashing In on ChatGPT in Finance 110
Chapter 7: Working with ChatGPT in Education 111
Flipping Critical Thinking to a New Learning Model 112
Leveraging ChatGPT to Aid Overworked Educators 115
Changing How Subjects Are Taught 117
Banning ChatGPT Stifles Education 120
Chapter 8: Using ChatGPT in Daily Life 121
Dying Keywords 121
Moving from Information Search to Knowledge Assistants 123
Living with Misinformation and Manipulation 126
Narrowing Options 127
Chapter 9: Recognizing the Ways ChatGPT and Generative AI Will Change the World 129
Understanding What Is and Isn’t of Real Concern 130
Measuring the Good and Bad in ChatGPT 130
Weighing Job Threats and Other ChatGPT Liabilities 131
Sampling the Disruptions Ahead 132
Chapter 10: Ten Other Generative AI Tools to Try 135
DALL-E and DALL-E 2 136
DeepL Write and DeepL Translator 138
Cedille 139
Notion AI 141
YouChat 142
ChatSonic 143
Poe 144
Jasper 146
Durable 146
God Mode 148
Index 151
