Prompt Engineering Using ChatGPT - Crafting Effective Interactions and Building GPT Apps

This book is designed for mastering the art and science of prompt engineering in the realm of artificial intelligence. It provides a thorough exploration of the fundamental principles, practical techniques, and real-world applications of prompt engineering, with a special focus on ChatGPT and its ad...

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autor: Tabatabaian, Mehrzad
Médium: E-kniha
Jazyk:angličtina
Vydáno: Herndon, VA Mercury Learning and Information 2024
Mercury Learning & Information
Mercury Learning
Vydání:1
Edice:MLI Generative AI Series
Témata:
Advanced AI
AI Applications
AI Plugins
ChatGPT
COM004000 COMPUTERS / Intelligence (AI) & Semantics
COMPUTERS / Computer Engineering
Contextual Prompts
Deformations (Mechanics)
Effective Interactions
Ethical AI
Fracture mechanics
General Engineering & Project Administration
General References
GPT-4
Natural Language Processing
Prompt Engineering
Prompt Engineering, ChatGPT, GPT-4, Natural Language Processing, AI Applications, Contextual Prompts, Advanced AI, AI Plugins, Effective Interactions, Ethical AI
Software Engineering
Technology & Engineering / Engineering (General)
Contextual Prompts
Prompt Engineering
Ethical AI
ChatGPT
AI Applications
AI Plugins
Prompt Engineering, ChatGPT, GPT-4, Natural Language Processing, AI Applications, Contextual Prompts, Advanced AI, AI Plugins, Effective Interactions, Ethical AI
Natural Language Processing
GPT-4
Effective Interactions
Advanced AI
ISBN:9781501522413, 1501522418
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Obsah:
  • Title Page Disclaimer Introduction Preface Table of Contents 1. Foundations of Prompts 2. Crafting Contextual Prompts 3. Asking Specific Questions 4. Providing Constraints and Guidelines 5. Creative Prompts for Diverse Content 6. Debugging and Iterating Prompts 7. Advanced Prompt Engineering 8. Effective Use of Prompts and GPT-4 with Plugins 9. Real-World Applications 10. Future Trends and Ethical Considerations 11. GPTS and GPT Application Builder Appendices References Index
  • 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
  • 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
  • 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
  • References --
  • Chapter 4: Providing Constraints and Guidelines --
  • Contents --
  • Chapter 10: Future Trends and Ethical Considerations --
  • Chapter 6: Debugging and Iterating Prompts --
  • Preface --
  • Chapter 2: Crafting Contextual Prompts --
  • Index
  • Chapter 1: Foundations of Prompts --
  • Chapter 7: Advanced Prompt Engineering --
  • Chapter 11: GPTs and GPT Application Builder --
  • Chapter 8: Effective Use of Prompts and GPT-4 with Plugins --
  • Frontmatter --
  • Chapter 9: Real-World Applications --
  • Appendix A: Miscellaneous Topics --
  • Appendix B: Glossary --
  • About the Author --
  • Chapter 3: Asking Specific Questions --
  • Introduction --
  • Chapter 5: Creative Prompts for Diverse Content --