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

• Autore: Tabatabaian Mehrzad
• Pubblicazione: Bloomfield : , : Mercury Learning & Information, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (143 pages)
• Soggetto topico: COMPUTERS / Web / Social Networking; COMPUTERS / Information Technology; COMPUTERS / Programming / Games
• Nota di contenuto: 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.
• Sommario/riassunto: Comprehensive guide to prompt engineering for ChatGPT, covering foundational principles and advanced techniques.Real-world examples and case studies showcasing the impact of well-crafted prompts This book provides a structured framework for exploring various aspects of prompt engineering for ChatGPT, from foundational principles to advanced.
• Titolo autorizzato: Prompt Engineering Using ChatGPT
• ISBN: 9781501518898; 1501518895
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911006657103321
• Lo trovi qui: Univ. Federico II
• Serie: MLI Generative AI Series