Unlocking the Secrets of Prompt Engineering

Unlocking the Secrets of Prompt Engineering

by Gilbert Mizrahi
Released January 2024
Publisher(s): Packt Publishing
ISBN: 9781835083833

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Book description

Enhance your writing with AI by mastering prompt engineering techniques and become an expert in developing and utilizing LLM prompts across applications

Key Features

  • Master prompt engineering techniques to harness AI's writing potential
  • Discover diverse LLM applications for content creation and beyond
  • Learn through practical examples, use cases, and hands-on guidance
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Unlocking the Secrets of Prompt Engineering is your key to mastering the art of AI-driven writing. This book propels you into the world of large language models (LLMs), empowering you to create and apply prompts effectively for diverse applications, from revolutionizing content creation and chatbots to coding assistance.

Starting with the fundamentals of prompt engineering, this guide provides a solid foundation in LLM prompts, their components, and applications. Through practical examples and use cases, you'll discover how LLMs can be used for generating product descriptions, personalized emails, social media posts, and even creative writing projects like fiction and poetry. The book covers advanced use cases such as creating and promoting podcasts, integrating LLMs with other tools, and using AI for chatbot development. But that’s not all. You'll also delve into the ethical considerations, best practices, and limitations of using LLM prompts as you experiment and optimize your approach for best results.

By the end of this book, you'll have unlocked the full potential of AI in writing and content creation to generate ideas, overcome writer's block, boost productivity, and improve communication skills.

What you will learn

  • Explore the different types of prompts, their strengths, and weaknesses
  • Understand the AI agent's knowledge and mental model
  • Enhance your creative writing with AI insights for fiction and poetry
  • Develop advanced skills in AI chatbot creation and deployment
  • Discover how AI will transform industries such as education, legal, and others
  • Integrate LLMs with various tools to boost productivity
  • Understand AI ethics and best practices, and navigate limitations effectively
  • Experiment and optimize AI techniques for best results

Who this book is for

This book is for a wide audience, including writers, marketing and business professionals, researchers, students, tech enthusiasts, and creative individuals. Anyone looking for strategies and examples for using AI co-writing tools like ChatGPT effectively in domains such as content creation, drafting emails, and inspiring artistic works, will find this book especially useful. If you are interested in AI, NLP, and innovative software for personal or professional use, this is the book for you.

Table of contents

  1. Unlocking the Secrets of Prompt Engineering
  2. Foreword
  3. Contributors
  4. About the author
  5. About the reviewers
  6. Preface
    1. Who this book is for
    2. What this book covers
    3. To get the most out of this book
    4. Download the example code files
    5. Conventions used
    6. Get in touch
    7. Share Your Thoughts
    8. Download a free PDF copy of this book
  7. Part 1:Introduction to Prompt Engineering
  8. Chapter 1: Understanding Prompting and Prompt Techniques
    1. Technical requirements
    2. Introducing LLM prompts
    3. How LLM prompts work
      1. Architecture
      2. LLM training
      3. A journey from prompt to reply – how inference helps LLMs fill in the blanks
    4. Types of LLM prompts
    5. Components of an LLM prompt
    6. Adopt any persona – role prompting for tailored interactions
      1. Few-shot learning – training models with example prompts
    7. Finding your voice – defining personality in prompts
    8. Using patterns to enhance prompt effectiveness
    9. Mix and match – strategic combinations for enhanced prompts
    10. Exploring LLM parameters
    11. How to approach prompt engineering (experimentation)
    12. The challenges and limitations of using LLM prompts
    13. Summary
  9. Chapter 2: Generating Text with AI for Content Creation
    1. Using AI for copywriting
    2. Creating social media posts
      1. Writing a Twitter thread
      2. Writing an Instagram post
      3. Producing high-converting sales copy
    3. Writing video scripts
    4. Generating blog posts, articles and news
    5. Creating engaging content with AI
    6. How to use AI for personalized messaging
    7. Creating tailored content with AI
    8. Summary
  10. Part 2:Basic Prompt Engineering Techniques
  11. Chapter 3: Creating and Promoting a Podcast Using ChatGPT and Other Practical Examples
    1. Crafting podcast questions for celebrity guests
    2. Preparing podcast questions with everyday guests
    3. Identify topics, ideas, and potential guest speakers for your podcast
    4. Using AI to promote a podcast
      1. Writing a summary of the podcast episode
      2. Crafting engaging quotes for social media promotion
      3. Conceptualizing podcast highlight reels
      4. Repurposing podcasts into shareable blog content
    5. Identifying insightful interview questions
    6. Sharpening interview skills with AI-generated responses
    7. Generating strategic questions for client engagements with AI
    8. Summary
  12. Chapter 4: LLMs for Creative Writing
    1. Using AI for creative writing
    2. Using AI to generate fiction
    3. Using AI to write poetry
    4. Summary
  13. Chapter 5: Unlocking Insights from Unstructured Text – AI Techniques for Text Analysis
    1. Sentiment analysis – AI techniques for emotion detection in text
    2. Organizing unstructured data – using AI for automated text categorization and data classification
    3. Cleaning up dirty data – how AI identifies and resolves issues in datasets
    4. Making sense of unstructured data – pattern matching for information extraction
    5. Summary
  14. Part 3: Advanced Use Cases for Different Industries
  15. Chapter 6: Applications of LLMs in Education and Law
    1. Creating course materials with ChatGPT
    2. Creating handouts and other materials
      1. Creating handouts for the unit
      2. Creating solved examples
      3. Word problems
    3. Creating quizzes
    4. Creating rubrics
    5. Creating cloze comprehension tests
    6. AI for legal research
    7. Reviewing legal documents using an LLM
    8. Drafting legal documents with an LLM
    9. AI for legal education and training
    10. LLMs for eDiscovery and litigation support
    11. AI for intellectual property (IP) management
    12. Other applications of LLMs for lawyers
    13. Summary
  16. Chapter 7: The Rise of AI Pair Programmers – Teaming Up with Intelligent Assistants for Better Code
    1. Code generation with coding assistants
    2. From confusion to clarity – AI explains what code does in plain English
    3. Commenting, formatting, and optimizing code
    4. Fixing faulty code – how AI transforms the debugging process
    5. Translating code from one language to another
    6. Case study 1 – developing a website code using AI
    7. Case study 2 – creating a Chrome extension using AI
    8. Summary
  17. Chapter 8: AI for Chatbots
    1. Technical requirements
    2. How to use GPT-4 APIs and other LLM APIs to create chatbots
    3. Building conversational interfaces with LLM APIs
    4. How to use AI for customer support
    5. Case study – a chatbot using AI to assist users in ordering products
    6. Case study – creating interactive quizzes/assessments and deploying them as chatbot flows
    7. Summary
  18. Chapter 9: Building Smarter Systems – Advanced LLM Integrations
    1. Automating bulk prompting with spreadsheets
    2. Integrating LLMs into your tech stack using Zapier and Make
      1. Creating and translating product descriptions
    3. Moving beyond APIs – building custom LLM pipelines with LangChain
      1. LangChain’s building blocks
      2. LangChain's no-code tools – Langflow and Flowise
      3. LangSmith – debug, test, and monitor your LLM workflows
    4. The future of LLM integration – plugins, agents, assistants, GPTs, and multimodal models
    5. Summary
  19. Part 4:Ethics, Limitations, and Future Developments
  20. Chapter 10: Generative AI – Emerging Issues at the Intersection of Ethics and Innovation
    1. Exploring the ethical challenges of generative AI
      1. Trust and accountability challenges of generative AI
    2. Economic impact considerations
    3. Environmental sustainability issues
    4. Societal risks and reflections
      1. Broader societal impacts
      2. What machine creativity reveals about cognition
      3. Concerns in defense and healthcare
    5. The path forward – solutions and safeguards
    6. Summary
  21. Chapter 11: Conclusion
    1. Recap of the book’s content
    2. Expanding possibilities – innovative prompt engineering applications
    3. Achieving intended outcomes – prompt engineering goals
    4. Understanding limitations and maintaining oversight
    5. Summary
  22. Index
    1. Why subscribe?
  23. Other Books You May Enjoy
    1. Packt is searching for authors like you
    2. Download a free PDF copy of this book

Product information

  • Title: Unlocking the Secrets of Prompt Engineering
  • Author(s): Gilbert Mizrahi
  • Release date: January 2024
  • Publisher(s): Packt Publishing
  • ISBN: 9781835083833