Ergonomics For People With Disabilities

Multi-Criteria Analysis for Priority-setting in Mine Action

3RD INTERNATIONAL CONFERENCE ON BIG DATA AND MACHINE LEARNING (BML'22)

IMDIS

2nd Edition of the Multidiscipinary Doctoral Days (IMDD23)

Smart Analysis of Tourism Policy Efficiency in Bulgaria for the Period 1980-2017

International Symposium on Technikpsychologie (TecPsy) 2023

Python Data Structures Pocket Primer

C Programming

Angular and Deep Learning Pocket Primer

Pandas Basics

Data Cleaning Pocket Primer

Computer Concepts and Management Information Systems

Microsoft Excel Programming Pocket Primer

Working with grep, sed, and awk Pocket Primer

C Programming Pocket Primer

AutoCAD 2016

Practical Heat Transfer

Software Testing

Data Science Tools

Prompt Engineering; ChatGPT; GPT-4; Natural Language Processing; AI Applications; Contextual Prompts; Advanced AI; AI Plugins; Effective Interactions; Ethical AI

<UL> <LI>Comprehensive guide to prompt engineering for ChatGPT, covering foundational principles and advanced techniques. </LI> <LI>Real-world examples and case studies showcasing the impact of well-crafted prompts </LI> </UL> <UL> </UL>This book provides a structured framework for exploring various aspects of prompt engineering for ChatGPT, from foundational principles to advanced techniques, real-world applications, and ethical considerations. It aims to guide readers in effectively harnessing the capabilities of ChatGPT through well-crafted prompts to achieve their goals. The digital age has ushered in a new era of communication, one where the boundaries between human and machine are becoming increasingly blurred. Artificial Intelligence (AI) technology, in its relentless evolution, has given rise to remarkable language models that can understand and generate human-like text. "Prompt Engineering for ChatGPT," demystifies the intricacies of this ground breaking technology, offering insights and strategies to harness its capabilities.

Prompt Engineering Using ChatGPT

Crafting Effective Interactions  and Building GPT Apps

Frontmatter

{"title":{"xml:lang":"en","content":"Frontmatter"}}

Contents

{"title":{"xml:lang":"en","content":"Contents"}}

Preface

{"title":{"xml:lang":"en","content":"Preface"}}

Introduction

{"title":{"xml:lang":"en","content":"Introduction"}}

About the Author

{"title":{"xml:lang":"en","content":"About the Author"}}

Chapter 1: Foundations of Prompts

{"title":{"xml:lang":"en","content":"Chapter 1: Foundations of Prompts"}}

Chapter 2: Crafting Contextual Prompts

{"title":{"xml:lang":"en","content":"Chapter 2: Crafting Contextual Prompts"}}

Chapter 3: Asking Specific Questions

{"title":{"xml:lang":"en","content":"Chapter 3: Asking Specific Questions"}}

Chapter 4: Providing Constraints and Guidelines

Chapter 4: Providing Constraints and Guidelines

{"title":{"xml:lang":"en","content":"Chapter 4: Providing Constraints and Guidelines"}}

Chapter 5: Creative Prompts for Diverse Content

Chapter 5: Creative Prompts for Diverse Content

{"title":{"xml:lang":"en","content":"Chapter 5: Creative Prompts for Diverse Content"}}

Chapter 6: Debugging and Iterating Prompts

Chapter 6: Debugging and Iterating Prompts

{"title":{"xml:lang":"en","content":"Chapter 6: Debugging and Iterating Prompts"}}

Chapter 7: Advanced Prompt Engineering

{"title":{"xml:lang":"en","content":"Chapter 7: Advanced Prompt Engineering"}}

Chapter 8: Effective Use of Prompts and GPT-4 with Plugins

Chapter 8: Effective Use of Prompts and GPT-4 with Plugins

{"title":{"xml:lang":"en","content":"Chapter 8: Effective Use of Prompts and GPT-4 with Plugins"}}

Chapter 9: Real-World Applications

{"title":{"xml:lang":"en","content":"Chapter 9: Real-World Applications"}}

Chapter 10: Future Trends and Ethical Considerations

Chapter 10: Future Trends and Ethical Considerations

{"title":{"xml:lang":"en","content":"Chapter 10: Future Trends and Ethical Considerations"}}

Chapter 11: GPTs and GPT Application Builder

Chapter 11: GPTs and GPT Application Builder

{"title":{"xml:lang":"en","content":"Chapter 11: GPTs and GPT Application Builder"}}

Appendix A: Miscellaneous Topics

{"title":{"xml:lang":"en","content":"Appendix A: Miscellaneous Topics"}}

Appendix B: Glossary

{"title":{"xml:lang":"en","content":"Appendix B: Glossary"}}

References

{"title":{"xml:lang":"en","content":"References"}}

Index

{"title":{"xml:lang":"en","content":"Index"}}

Mehrzad Tabatabaian (PhD, PEng) is currently Chair of the BCIT School of Energy Research Committee. He has published several papers for scientific journals and has written textbooks on multiphysics modelling and thermodynamics. He holds several registered patents in the energy field and teaches courses in renewable energy.

<UL> <LI>Comprehensive guide to prompt engineering for ChatGPT, covering foundational principles and advanced techniques. </LI> <LI>Real-world examples and case studies showcasing the impact of well-crafted prompts </LI> </UL> <UL> </UL>

 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 techniques, real-world applications, and ethical considerations. It aims to guide readers in effectively harnessing the capabilities of ChatGPT through well-crafted prompts to achieve their goals.

 Comprehensive guide to prompt engineering for ChatGPT, covering foundational principles and advanced techniques.   Real-world examples...

MLI Generative AI Series

Title

Prompt Engineering Using ChatGPT

Crafting Effective Interactions and Building GPT Apps

Les gens lisent aussi