This book is GPT-4 updated. A comprehensive guide to understanding and utilizing various prompt techniques to generate high-quality answers from ChatGPT. and How To Avoid & Bypass all A.I Content Detectors
NB: My aim is for you to understand the underlying principles, which will enable you to use any version of ChatGPT in an advanced way without memorizing any formulas. This eliminates the need for having thousands of formulas, which, in fact, are based on the same principles.
We explore how different prompt engineering techniques can be used to achieve different goals. ChatGPT is a state-of-the-art language model that is capable of generating human-like text. However, it is vital to understand the right way to ask ChatGPT in order to get the high-quality outputs we desire.
And that is the purpose of this book. Whether you are a normal person, a researcher, a developer, or simply someone who wants to use ChatGPT as his personal assistant in your field, this book is written for you.
I have used simple language with on-point practical explanations, together with examples and prompt formulas on every prompt technique. With this book, you'll learn how to use prompt engineering techniques to control the output of ChatGPT and generate text that is tailored to your specific needs.
Throughout this book, we also provide examples of how to combine different prompt techniques to achieve more specific outcomes.
I hope that you will find this book informative and enjoyable as much as I enjoyed writing it.
Author(s): Ibrahim John
Publisher: Nzunda Technologies Limited
Year: 2023
Language: English
Pages: 81
Introduction
Chapter 1: Introduction to Prompt Engineering Techniques
What is Prompt engineering?
Chapter 2: Instructions Prompt Technique
Examples:
Chapter 3: Role Prompting
Chapter 4: Standard Prompts
Chapter 5: Zero, One and Few Shot Prompting
Chapter 6: "Let’s think about this” prompt
Chapter 7: Self-Consistency Prompt
Chapter 8: Seed-word Prompt
Chapter 9: Knowledge Generation prompt
Chapter 10: Knowledge Integration prompts
How to use it with ChatGPT:
Chapter 11: Multiple Choice prompts
Chapter 12: Interpretable Soft Prompts
Chapter 13: Controlled Generation prompts
Chapter 14: Question-answering prompts
Chapter 15: Summarization prompts
How to use it with ChatGPT:
Chapter 16: Dialogue prompts
Chapter 17: Adversarial prompts
Chapter 18: Clustering prompts
How to use it with ChatGPT:
Chapter 19: Reinforcement learning prompts
Chapter 20: Curriculum learning prompts
Chapter 21: Sentiment analysis prompts
Chapter 22: Named entity recognition prompts
Chapter 23: Text classification prompts
Chapter 24: Text generation prompts
Conclusion