Prompt Patterns

course_overview

Prompt Patterns teaches reusable patterns for interacting with LLMs. Get predictable results across models, tools, and professions.

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Preface0 chapters

Begin part
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    Introduction4 chapters

    Begin part
    1. Prompts

    2. Patterns

    3. Design Principles

    4. Pattern Categories

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    Objective Framing4 chapters

    Begin part
    1. Task Directive

    2. Perspective Framing

    3. Constraint Scoping

    4. Summary

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    Information Supply5 chapters

    Begin part
    1. Context Injection

    2. Context Selection

    3. Example-Driven Specification

    4. Structural Segmentation

    5. Summary

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    Method Prescription7 chapters

    Begin part
    1. Alternative Enumeration

    2. Hierarchical Decomposition

    3. Dependency Decomposition

    4. Stepwise Decomposition

    5. Multi-Path Reasoning

    6. Semantic Lifting

    7. Summary

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    Quality Validation5 chapters

    Begin part
    1. Knowledge Externalization

    2. Deferred Commitment

    3. Reflective Evaluation

    4. Claim Enumeration

    5. Summary

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    Output Representation6 chapters

    Begin part
    1. Semantic Compression

    2. Response Tail

    3. Answer Extractor

    4. Output Template

    5. Formal Representation

    6. Summary

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    Iterative Alignment4 chapters

    Begin part
    1. Interaction Reversal

    2. Interaction Language

    3. Meta Prompting

    4. Summary

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    Afterword14 chapters

    Begin part
    1. Patterns List

    2. Recommended Resources

    3. About the Author

    4. Markua Snippets Collection

    5. Chapter One

    6. Chapter Two

    7. Chapter One

    8. Chapter One

    9. Buy the Book

    10. Advanced Markua Examples: Code and Images

    11. Formatting Prompt and Response Examples for a ChatGPT Book

    12. Prompt and Response Formatting Patterns (Alignment-Safe)

    13. ChatGPT Prompt and Response Layout Experiments

    14. Highlighting Prompt Structure in a Prompting Patterns Book