GitHub - dair-ai/Prompt-Engineering-Guide: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering - dair-ai/Prompt-Engineering-Guide
AI Prompt Engineering Course
Summary
An interactive, step-by-step tutorial by Anthropic teaching how to engineer optimal prompts for Claude. Covers 9 chapters from basic structure to complex industry use cases, with hands-on exercises and an example playground for experimentation.
Highlights
- Structured in 9 chapters progressing from beginner to advanced, with hands-on exercises and an answer key for each lesson
- Includes an Example Playground in each lesson where users can experiment with prompts and observe Claude's responses in real time
- Covers key techniques: prompt structure, role assignment, chain-of-thought, few-shot examples, and hallucination avoidance
- Also available as a Google Sheets version using Anthropic's Claude for Sheets extension for a more user-friendly experience
- Uses Claude 3 Haiku (the smallest model) to keep costs low while teaching principles applicable to Sonnet and Opus
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Context
Audience
Developers, AI practitioners, and content creators who want to improve their ability to write effective prompts for Claude and other LLMs
DomainAI Prompt Engineering
Formatinteractive tutorial with exercises
Accessfree, open source on GitHub
Source Overview
Anthropic’s Interactive Prompt Engineering Tutorial - anthropics/prompt-eng-interactive-tutorial
Topics
Related
Claude 3 Haiku / Sonnet / OpusChain-of-thought promptingFew-shot promptingRAG (Retrieval Augmented Generation)Anthropic Claude for Sheets extension
