# Prompt Engineering Guide — 73K-Star Learning Hub

> The most comprehensive open-source prompt engineering resource with guides, papers, notebooks, and courses covering chain-of-thought, RAG, AI agents, and 13 languages. 3M+ learners, MIT.

## Install

Paste the prompt below into your AI tool:

## Quick Use

1. Browse the full guide: [promptingguide.ai](https://www.promptingguide.ai/)
2. Start with fundamentals: zero-shot → few-shot → chain-of-thought
3. Advance to RAG, agents, and function calling
4. Practice with included Jupyter notebooks

Or clone for offline reading:
```bash
git clone https://github.com/dair-ai/Prompt-Engineering-Guide.git
```

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## Intro

The Prompt Engineering Guide by DAIR.AI is the most comprehensive open-source resource for learning prompt engineering, with 72,900+ GitHub stars, MIT license, and 3M+ learners across 13 languages. It covers everything from zero-shot prompting to advanced techniques like chain-of-thought reasoning, RAG pipelines, AI agents, function calling, and adversarial prompting — with model-specific guides for ChatGPT, Claude, Gemini, Llama, Mistral, and more. Includes Jupyter notebooks for hands-on practice and links to 60+ research papers.

Best for: developers, researchers, and anyone learning to write better prompts for any LLM.
Works with: any LLM (ChatGPT, Claude, Gemini, Llama, Mistral, etc.).
Languages: available in 13 languages.

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## Prompt Engineering Guide — Topics Covered

### Fundamentals
- **Zero-shot prompting** — No examples, just instructions
- **Few-shot prompting** — Learning from examples
- **Chain-of-thought (CoT)** — Step-by-step reasoning
- **Self-consistency** — Multiple reasoning paths
- **Tree-of-thoughts** — Branching exploration

### Advanced Techniques
- **Retrieval Augmented Generation (RAG)** — Ground responses in external data
- **ReAct prompting** — Reasoning + acting for agents
- **Function calling** — LLM triggers external tools
- **Multimodal prompting** — Text + images + audio

### AI Agents
- Agent architectures and patterns
- Tool use and orchestration
- Memory and planning
- Multi-agent systems

### Safety & Security
- Adversarial prompting attacks
- Prompt injection defense
- Jailbreak prevention
- Output validation

### Model-Specific Guides
GPT-4, ChatGPT, Claude, Gemini, Llama 3, Mistral, Phi, Cohere, and more.

### FAQ

**Q: What is the Prompt Engineering Guide?**
A: The most comprehensive open-source learning resource for prompt engineering, covering fundamentals to advanced techniques across all major LLMs. 72,900+ stars, 3M+ learners.

**Q: Is it free?**
A: Yes, MIT license. Additional paid courses available through DAIR.AI Academy.

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## Source & Thanks

> Created by [DAIR.AI](https://github.com/dair-ai). Licensed under MIT.
>
> [Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) — ⭐ 72,900+

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## 快速使用

浏览完整指南：[promptingguide.ai](https://www.promptingguide.ai/)

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## 简介

DAIR.AI 的 Prompt Engineering Guide 是最全面的开源提示工程学习资源，72,900+ Star，MIT 许可证，3M+ 学习者，13 种语言。涵盖零样本、思维链、RAG、AI Agent、函数调用等所有技术。

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## 来源与感谢

> Created by [DAIR.AI](https://github.com/dair-ai). Licensed under MIT.
>
> [Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) — ⭐ 72,900+

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Source: https://tokrepo.com/en/workflows/fc6496bc-fe40-4af3-bbb5-050e41c1f938
Author: Prompt Lab