A Practical and Short Textbook of Prompt Engineering

By Samuel Inbaraja S

Consider a scenario where you wish to engage in a conversation with a computer system that can not only understand your natural language but also respond in a meaningful and informative way. This is precisely the goal of prompt engineering, a technique that enables users to harness the power of large language models (LLMs) to perform a wide range of tasks, from generating creative text formats to answering questions, translating languages, and engaging in meaningful conversations.

This practical textbook has examples in every chapter and practical exercises at various place to facilitate learning. There are 15 chapters with references and comprehensible content. Learn prompt engineering and improve your chances of landing a job in the new normal of the AI economy in the evolving AI civilization.

• Language: English
• Publisher: Samuel Inbaraja S
• Release date: Dec 6, 2023
• ISBN: 9798223345749

Samuel Inbaraja S

DR. SAMUEL INBARAJA SUNDAR MBBS, PGD Hospital Management, Diploma in Clinical Diagnostic Radiology, Certificate in Christian Apologetics, Global MBA Dr. Sam is primarily a Doctor, specializing in Diagnostic Radiology. He did his undergraduate in medicine from one of the top medical schools in India, JIPMER, Pondicherry. He went on to do his residency in radiology from Dnipropetrovk, Ukraine. He is currently working as a radiologist in his home town, pondicherry, India. He completed his 'Certificate in Christian Apologetics' from BIOLA University, USA in 2018. He recently completed his Global MBA from Deakin University, Australia. He has extensie work experience having worked in Maldives as a Junior Doctor and then living and doing Radiology Residency in Ukraine. He has also worked in Christian mission hospital, central government institution, state government institutions, private medical colleges and online teleradiology company. He has worked in multiple departments in medicine including HIV medicine, Deaddiction Clinic, Psychiatry, Gneneral Medicine, General Surgery, Oncology and Emergency Medicine. LinkedIn: https://www.linkedin.com/in/dr-samuel-inbaraja/ Udemy: https://www.udemy.com/user/samuel-inbaraja-s/

Book preview

A Practical and Short Textbook of Prompt Engineering

Samuel Inbaraja S

Published by Samuel Inbaraja S, 2023.

While every precaution has been taken in the preparation of this book, the publisher assumes no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein.

A PRACTICAL AND SHORT TEXTBOOK OF PROMPT ENGINEERING

First edition. December 6, 2023.

Copyright © 2023 Samuel Inbaraja S.

ISBN: 979-8223345749

Written by Samuel Inbaraja S.

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Watch for more at Samuel Inbaraja S’s site.

A SHORT AND PRACTICAL TEXTBOOK OF PROMPT ENGINEERING

AUTHOR

SAMUEL INBARAJA S

(MD MBA)

https://www.linkedin.com/in/dr-samuel-inbaraja/

IBM AI Foundations for Business

IBM

SKILLS GAINED

Artificial Intelligence (AI)

Data Science

Leadership

Information Technology (IT) Architecture

Data Architecture

View certificate for Samuel Inbaraja, IBM AI Foundations for Business, offered through Coursera. This specialization will explain and describe the overall focus areas for business leaders considering AI-based solutions for business challenges. The first course provides a business-oriented summary of technologies and basic concepts in AI. The second will introduce the technologies and concepts in data science. The third introduces the AI Ladder, which is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions.

Course Certificates

Introduction to Artificial Intelligence (AI)

IBM

Taught by: Rav Ahuja

Completed by: Samuel Inbaraja by April 26, 2023

4 weeks of study, 1-2 hours per week

Grade Achieved: 97.22%

What is Data Science?

IBM

Taught by: Rav Ahuja & Alex Aklson

Completed by: Samuel Inbaraja by May 10, 2023

3 weeks of study, 2-3 hours/week, 1 optional week

Grade Achieved: 92.50%

The AI Ladder: A Framework for Deploying AI in your Enterprise

IBM

Taught by: Mark J Grover & Ray Lopez, Ph.D.

Completed by: Samuel Inbaraja by June 3, 2023

Grade Achieved: 92.13%

Contents

Chapter 1: Foundations of Prompt Engineering

Embarking on the Journey of Prompt Engineering

Tracing the Roots of Prompt Engineering

The Dawn of Large Language Models

Demystifying the Architecture of LLMs

Unveiling the Training Methodology of LLMs

Exploring the Capabilities of LLMs

Harnessing the Power of LLMs through Prompt Engineering

The Spectrum of Prompt Engineering Applications

Test

Chapter 2: Crafting Effective Prompts: A Methodological Approach to Prompt Design for Diverse Applications

Fundamental Principles of Effective Prompts

Checklist for prompt engineering

Some examples of prompts for ChatGPT and Midjourney

Chapter 3: Natural Language Generation with Prompt Engineering: Unleashing Creativity and Storytelling through Language Models

Unleashing Creativity through Diverse Prompt Design

Prompt Engineering for Storytelling: Weaving Narratives through Language

The Future of Creative NLG: Unlocking New Horizons

Conclusion: A New Era of Storytelling

Chapter 4: Prompt-Driven Question Answering: Navigating the Maze of Information with Language Model-Powered Queries

Prompt Design Strategies for Enhanced QA Performance

Real-World Applications of Prompt-Driven QA

The Future of Prompt-Driven QA: Embracing Continuous Learning and Adaptability

Examples

Chapter 5: Code Generation through Prompt Engineering: Automating Programming Tasks and Enhancing Developer Productivity

Generating Code Snippets with LLMs

Prompting LLMs for Complete Programming Tasks

Translating Code between Programming Languages

Practical Guidelines for Developing Code-Generating Prompts

Real-World Applications of Code Generation through Prompt Engineering

Examples

Chapter 6: Summarization via Prompt Engineering: Extracting Meaningful Insights from Text with Language Model Assistance

Summarization Techniques: Abstractive and Extractive Approaches

Crafting Effective Prompts for Summarization

Real-World Applications of Summarization through Prompt Engineering

The Future of Summarization via Prompt Engineering: Towards Adaptive and Personalized Summaries

Examples

Chapter 7: Bridging the Linguistic Divide with Prompt Engineering: Language Translation Powered by Language Models

Prompt-Driven Machine Translation with LLMs

Statistical Machine Translation (SMT) vs. Neural Machine Translation (NMT)

Real-World Applications of Prompt-Driven Machine Translation

Future Directions: Towards Adaptive and Personalized Translation

Examples

Chapter 8: Engaging in Meaningful Conversations with AI: Dialog Generation through Prompt Engineering

Crafting Effective Prompts for Dialog Generation

Open-Domain Dialog: Unstructured Conversations with LLMs

Closed-Domain Dialog: Task-Oriented Conversations with LLMs

Real-World Applications of Dialog Generation through Prompt Engineering

Future Directions: Towards Adaptive and Personalized Dialogues

Examples

Chapter 9: Ensuring Trustworthiness in the Digital Age: Fact-Checking and Verification with Language Model-Driven Prompts

Fact-Checking and Verification with LLMs

Fact-Checking Techniques: Sentiment Analysis and Factual Similarity

Formulating Prompts for Fact-Checking and Verification

Real-World Applications of Fact-Checking and Verification with LLMs

Future Directions: Towards Robust and Adaptable Fact-Checking Systems

Example

Chapter 10: Prompt Engineering for Creative Writing: Exploring the Realms of Fiction and Poetry with Language Models

Prompt Design Principles for Creative Writing

Exploring Creative Text Formats with LLMs

Real-World Applications of Prompt Engineering in Creative Writing

Future Directions: Towards Adaptive and Personalized Creativity

Examples

Chapter 11: Unveiling Hidden Patterns and Insights: Scientific Research Applications of Prompt Engineering

Principles of Prompt Design for Scientific Research

Prompt Engineering Applications in Diverse Scientific Fields

Real-World Impact of Prompt Engineering in Scientific Research

Examples

Chapter 12: Ethical Considerations in Prompt Engineering: Promoting Fairness, Bias Mitigation, and Responsible AI Practices

Ethical Considerations for Prompt Engineering

Strategies for Promoting Ethical Prompt Engineering

Examples of ethical considerations in prompt engineering

Chapter 13: Measuring Success and Identifying Areas for Improvement: Evaluating Prompt Engineering Effectiveness

Evaluating Prompt Engineering Effectiveness

Measuring the Quality of Generated Text

Evaluating the Impact on User Behavior

Identifying Areas for Improvement

Examples

Chapter 14: The Future of Prompt Engineering in a Language Model-Driven World

Driving Forces and Key Trends

Emerging Applications and Future Directions

Challenges and Opportunities

Chapter 15: Mastering the Art of Prompt Engineering

Principles of Effective Prompt Design

Crafting Prompts for Creative Writing

Prompting for Scientific Research Applications

Ethical Considerations in Prompt Engineering

Roadmap for AI prompt engineering mastery

Plan: step-by-step plan for the average user to learn about AI prompt engineering

Practice exercises

Practice Exercises

Practice exercises

Chapter 1: Foundations of Prompt Engineering

Delving into the realm of prompt engineering, this chapter lays the groundwork for understanding the fundamental concepts and principles that govern this rapidly evolving field. It explores the historical context of prompt engineering, tracing its roots back to the early days of NLP and the emergence of statistical language models. The chapter then introduces the concept of large language models (LLMs), examining their architectural design, training methodologies, and capabilities.

Embarking on the Journey of Prompt Engineering

Consider a scenario where you wish to engage in a conversation with a computer system that can not only understand your natural language but also respond in a meaningful and informative way. This is precisely