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Prompt-Engineering-Guide
Knowledge Tutorial

The Prompt Engineering Guide is a comprehensive, open-source educational resource designed to help developers and researchers master interactions with Large Language Models (LLMs). It organizes a vast library of prompting techniques, model-specific guides, and practical applications into a structured, multilingual documentation site. Built with modern web technologies, it serves as a central hub for learning about the latest papers, tools, and safety risks in the rapidly evolving field of Generative AI.

13
Chapters
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Subsystems
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Rabbit Holes
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System Architecture

How the pieces fit

Prompt-Engineering-Guide is organized as connected concepts and components. Start broad, then drill down chapter by chapter.

⚙️
Project Overview
Project Overview
⚙️
Content Structure - Introduction
Content Structure - Introduction
⚙️
Content Structure - Techniques
Content Structure - Techniques
⚙️
Content Structure - Applications
Content Structure - Applications
⚙️
Content Structure - Models
Content Structure - Models
⚙️
Content Structure - Risks & Misuses
Content Structure - Risks & Misuses
⚙️
Content Structure - Prompt Hub
Content Structure - Prompt Hub
⚙️
Content Structure - Research & Papers
Content Structure - Research & Papers
⚙️
Technical Stack
Technical Stack
⚙️
Configuration Files
Configuration Files
⚙️
Internationalization (i18n)
Internationalization (i18n)
⚙️
Ecosystem & Monetization
Ecosystem & Monetization
Prompt-Engineering-Guide — bash
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Repository Overview

Intro and Architecture Diagram

The Prompt Engineering Guide is a comprehensive, open-source educational resource designed to help developers and researchers master interactions with Large Language Models (LLMs). It organizes a vast library of prompting techniques, model-specific guides, and practical applications into a structured, multilingual documentation site. Built with modern web technologies, it serves as a central hub for learning about the latest papers, tools, and safety risks in the rapidly evolving field of Generative AI.

Source Repository: https://github.com/dair-ai/Prompt-Engineering-Guide

flowchart TD A0["Project Overview"] A1["Content Structure - Introduction"] A2["Content Structure - Techniques"] A3["Content Structure - Models"] A4["Content Structure - Applications"] A5["Content Structure - Risks & Misuses"] A6["Content Structure - Prompt Hub"] A7["Content Structure - Research & Papers"] A8["Technical Stack"] A9["Internationalization (i18n)"] A10["Configuration Files"] A11["Ecosystem & Monetization"] A12["License"] A0 -->|"Organizes content"| A1 A0 -->|"Organizes content"| A2 A0 -->|"Organizes content"| A3 A0 -->|"Organizes content"| A4 A0 -->|"Organizes content"| A5 A0 -->|"Organizes content"| A6 A0 -->|"Organizes content"| A7 A8 -->|"Implements platform for"| A0 A10 -->|"Configures framework"| A8 A10 -->|"Defines locales"| A9 A9 -->|"Localizes"| A0 A11 -->|"Sustains"| A0 A12 -->|"Legally protects"| A0
Tutorial Chapters

All 13 chapters

Follow sequentially or jump to any topic. Start with Project Overview.

Ch.01 CORE
Project Overview
Welcome to the Prompt Engineering Guide! If you are looking to understand how to talk to Artificial Intelligence (AI) effectively, you have…
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Ch.02 CORE
Content Structure - Introduction
In the previous chapter, Project Overview, we looked at the big picture of the Prompt Engineering Guide repository. We learned that this pr…
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Ch.03 CORE
Content Structure - Techniques
In the previous chapter, Content Structure - Introduction, we learned the basics of a prompt (Instruction and Context) and how to adjust se…
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Ch.04 CORE
Content Structure - Applications
In the previous chapter, Content Structure - Techniques, we filled our toolbox with strategies like "Few-Shot" and "Chain-of-Thought." We l…
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Ch.05 CORE
Content Structure - Models
In the previous chapter, Content Structure - Applications, we learned how to use AI to build things like coding assistants and data generat…
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Ch.06 CORE
Content Structure - Risks & Misuses
In the previous chapter, Content Structure - Models, we explored the different "brains" available (like GPT-4, Claude, and Llama). We learn…
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Ch.07 CORE
Content Structure - Prompt Hub
In the previous chapter, Content Structure - Risks & Misuses, we learned how to protect our AI models from attacks and prevent them from ma…
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Ch.08 CORE
Content Structure - Research & Papers
In the previous chapter, Content Structure - Prompt Hub, we explored the "Recipe Book" of the project—a library of copy-pasteable prompts t…
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Ch.09 CORE
Technical Stack
In the previous chapter, Content Structure - Research & Papers, we explored the academic roots of prompt engineering. We looked at the cont…
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Ch.10 CORE
Configuration Files
In the previous chapter, Technical Stack, we looked at the engine room. We learned that Next.js and Nextra are the machinery that builds th…
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Ch.11 CORE
Internationalization (i18n)
In the previous chapter, Configuration Files, we learned how to control the "dashboard" of our website. We tweaked settings in next.config.…
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Ch.12 CORE
Ecosystem & Monetization
In the previous chapter, Internationalization (i18n), we learned how to make our guide accessible to the whole world by translating it into…
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Ch.13 CORE
License
In the previous chapter, Ecosystem & Monetization, we discussed how an open-source project can sustain itself financially through courses a…
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About This Project

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