Prompt Engineering Using ChatGPT: Crafting Effective Interactions and Building GPT Apps (MLI Generative AI Series)

Cover
Half Title
Title
Copyright
Dedication
Contents
Preface
Introduction
	History of LLM and GPT
About the Author
Chapter 1: Foundations Of Prompts
1.1 The Role of Prompts in Interacting with ChatGPT
1.2 Anatomy of a Well-Constructed Prompt
	The Essence of Clarity and Specificity
	Harnessing the Power of Context
	Avoiding Leading or Biased Language
1.3 Exploring Different Prompt Styles
	Interrogative Prompts: Seeking Direct Answers
	Imperative Prompts: Issuing Commands
	Declarative Prompts: Providing Context or Information
	Conversational Prompts: Fostering Dialogue
1.4 Prompt Examples and Analysis
	Engineering and Technical Fields
	Creative Writing and Content Generation
	Healthcare and Medical Research:
	Conversational AI and Virtual Assistants:
	Educational and Learning Applications:
	Role-Goal-Context Style:
Chapter 2: Crafting Contextual Prompts
	2.1 Leveraging Context for More Relevant Responses
	2.2 Harnessing Prior Chat Turns for Smooth Conversations
	2.3 Incorporating the User’s Name and Details for Personalization
Chapter 3: Asking Specific Questions
	3.1 Techniques for Asking Clear and Direct Questions
	3.2 Navigating Ambiguity: How to Get Precise Answers
		The Ambiguity Conundrum
	3.3 Uncovering Hidden Information with Well-Formed Queries
Chapter 4: Providing Constraints And Guidelines
	4.1 Setting Constraints for Desired Output
		The Role of Constraints in AI Interaction
	4.2 Ensuring Ethical and Responsible Responses
		Ethics in AI: A Fundamental Imperative
	4.3 Combining Constraints for Tailored Content
		The Synergy of Multiple Constraints
Chapter 5: Creative Prompts For Diverse Content
	5.1 Inspiring Creative Writing with Open-Ended Prompts
		Fostering Creativity Through Openness
	5.2 Generating Poetry, Stories, and Dialogues
		AI as a Creative Muse
	5.3 Using Prompts to Generate Ideas and Concepts
		Prompts as Creative Catalysts
	5.4 Exploring Creativity through Multimodal Prompts
		The Power of Multimodal Creativity
Chapter 6: Debugging And Iterating Prompts
	6.1 Interpreting and Analyzing Model Responses
		Deciphering Model Outputs
	6.2 Identifying Misunderstandings and Errors
		The Challenge of Misunderstandings
	6.3 Strategies for Iterating and Improving Prompts
		The Iterative Prompt Refinement Cycle
Chapter 7: Advanced Prompt Engineering
	7.1 Using Temperature, Top-p, and Max Tokens for Control
		Temperature: Modulating Creativity
		Top-p (Nucleus Sampling): Ensuring Relevance
		Max Tokens: Limiting Response Length
	7.2 Incorporating Conditional Logic in Prompts
		Conditional Logic: Steering Model Responses
	7.3 Dynamic Prompts for Interactive Experiences
Chapter 8: Effective Use of Prompts and GPT-4 With Plugins
	8.1 An Introduction to Plugins
	8.2 Integrating Plugins for Enhanced AI Conversations
		How To Get Plugins
	8.3 Benefits of Using Plugins
	8.4 Popular ChatGPT/GPT-4 Plugins
Chapter 9: Real-World Applications
	9.1 Applying Prompt Engineering in Customer Support
		Enhancing Customer Support with Prompt Engineering
	9.2 Generating Content for Social Media and Marketing
		Transforming Social Media with AI-Powered Content
	9.3 Educational Use Cases: Teaching and Learning with ChatGPT
		Transforming Education with AI-Powered Chatbots
	9.4 Business Applications
		Enhancing Business Operations with AI Chatbots
	9.5 Technical and Engineering Applications
Chapter 10: Future Trends and Ethical Considerations
	10.1 The Evolving Landscape of AI-Generated Content
		The Unfolding Revolution of AI-Generated Content
	10.2 Addressing Bias and Fairness in Prompts and Responses
		The Perils of Bias in AI-Generated Content
	10.3 Ethical Considerations for Prompt Engineering
		Ethical Imperatives in Prompt Engineering
Chapter 11: GPTS and GPT Application Builder
	11.1 New Features Announced with GPTs
	11.2 How to Build GPTs
	11.3 Example 1- A GPT App for Coloring Pages
	11.4 Example 2- A GPT App for Story Writers
	11.5 Winding down the ChatGPT plugins
		11.5.1 Case Study 1: Prompt Professor
		11.5.2 Case Study 2: Wolfram
		11.5.3 Case Study 3: Scholar GPT
		11.5.4 Case Study 4: Finance Wizard
		11.5.5 Case Study 5: The Designer’s Mood Board
	11.6 The Future of GPTs and GPT Builder
Appendix A: Miscellaneous Topics
	A.1 Topics for Future Research and Development in AI
	A.2 Teaching with AI
		Your Personal Interactive Tutor
	A.3 Multimodal GPT-4 with Voice and Image as Prompts
		TopAI.Tools
	A.4 Common Pitfalls and Solutions
Appendix B: Glossary
References
Index