https://github.com/anthropics/prompt-eng-interactive-tutorial

Anthropic's Interactive Prompt Engineering Tutorial
https://github.com/anthropics/prompt-eng-interactive-tutorial

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Anthropic's Interactive Prompt Engineering Tutorial

• Host: GitHub
• URL: https://github.com/anthropics/prompt-eng-interactive-tutorial
• Owner: anthropics
• Created: 2024-04-02T15:52:00.000Z (7 months ago)
• Default Branch: master
• Last Pushed: 2024-07-11T06:41:09.000Z (4 months ago)
• Last Synced: 2024-08-01T21:39:07.109Z (3 months ago)
• Language: Jupyter Notebook
• Size: 5.59 MB
• Stars: 269
• Watchers: 11
• Forks: 50
• Open Issues: 12
• Metadata Files:
  • Readme: README.md

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• project-awesome - anthropics/prompt-eng-interactive-tutorial - Anthropic's Interactive Prompt Engineering Tutorial (Jupyter Notebook)

README

        
# Welcome to Anthropic's Prompt Engineering Interactive Tutorial

## Course introduction and goals

This course is intended to provide you with a comprehensive step-by-step understanding of how to engineer optimal prompts within Claude.

**After completing this course, you will be able to**:

- Master the basic structure of a good prompt 

- Recognize common failure modes and learn the '80/20' techniques to address them

- Understand Claude's strengths and weaknesses

- Build strong prompts from scratch for common use cases

## Course structure and content

This course is structured to allow you many chances to practice writing and troubleshooting prompts yourself. The course is broken up into **9 chapters with accompanying exercises**, as well as an appendix of even more advanced methods. It is intended for you to **work through the course in chapter order**. 

**Each lesson has an "Example Playground" area** at the bottom where you are free to experiment with the examples in the lesson and see for yourself how changing prompts can change Claude's responses. There is also an [answer key](https://docs.google.com/spreadsheets/d/1jIxjzUWG-6xBVIa2ay6yDpLyeuOh_hR_ZB75a47KX_E/edit?usp=sharing).

Note: This tutorial uses our smallest, fastest, and cheapest model, Claude 3 Haiku. Anthropic has [two other models](https://docs.anthropic.com/claude/docs/models-overview), Claude 3 Sonnet and Claude 3 Opus, which are more intelligent than Haiku, with Opus being the most intelligent.

*This tutorial also exists on [Google Sheets using Anthropic's Claude for Sheets extension](https://docs.google.com/spreadsheets/d/19jzLgRruG9kjUQNKtCg1ZjdD6l6weA6qRXG5zLIAhC8/edit?usp=sharing). We recommend using that version as it is more user friendly.*

When you are ready to begin, go to `01_Basic Prompt Structure` to proceed.

## Table of Contents

Each chapter consists of a lesson and a set of exercises.

### Beginner

- **Chapter 1:** Basic Prompt Structure

- **Chapter 2:** Being Clear and Direct  

- **Chapter 3:** Assigning Roles

### Intermediate 

- **Chapter 4:** Separating Data from Instructions

- **Chapter 5:** Formatting Output & Speaking for Claude

- **Chapter 6:** Precognition (Thinking Step by Step)

- **Chapter 7:** Using Examples

### Advanced

- **Chapter 8:** Avoiding Hallucinations

- **Chapter 9:** Building Complex Prompts (Industry Use Cases)

  - Complex Prompts from Scratch - Chatbot

  - Complex Prompts for Legal Services

  - **Exercise:** Complex Prompts for Financial Services

  - **Exercise:** Complex Prompts for Coding

  - Congratulations & Next Steps

- **Appendix:** Beyond Standard Prompting

  - Chaining Prompts

  - Tool Use

  - Search & Retrieval