Prompt engineering has emerged as a critical skill for anyone looking to harness the full potential of large language models (LLMs). Whether you're a beginner or an experienced professional, these resources will help you master the art and science of crafting effective prompts.
1. Anthropic's Claude Prompting Guide
Anthropic provides comprehensive documentation on how to effectively prompt their Claude models. Their guide covers fundamental principles, advanced techniques, and best practices for getting optimal results.
Anthropic's Prompt Engineering Documentation
2. OpenAI Prompt Engineering Guide
OpenAI offers detailed guidance on creating effective prompts for their GPT models. Their documentation includes strategies for different tasks, common pitfalls to avoid, and techniques to improve response quality.
OpenAI's Prompt Engineering Guide
3. Google's Gemini Prompting Guide
Google's documentation for Gemini models provides structured approaches to prompt design with practical examples and task-specific templates.
Google's Gemini Prompt Engineering Guide
4. Prompt Engineering Guide by DAIR.AI
This open-source guide offers a comprehensive introduction to prompt engineering concepts, techniques, and applications. It covers everything from basic principles to advanced strategies with practical examples.
5. Learn Prompting
Learn Prompting provides free, accessible courses on prompt engineering for various skill levels. Their content is regularly updated with new techniques and best practices.
6. Cohere's Prompt Engineering Tutorials
Cohere offers excellent resources for learning how to craft effective prompts for their language models, with detailed examples and use cases.
Cohere's Prompt Engineering Resources
7. Stanford University's Prompt Engineering Course
Stanford offers academic resources on prompt engineering as part of their AI curriculum, providing a more theoretical foundation alongside practical applications.
Stanford's Prompt Engineering Resources
8. Prompt Engineering by Elvis Saravia
This GitHub repository contains a wealth of prompt engineering resources, techniques, and examples compiled by AI researcher Elvis Saravia.
Prompt Engineering GitHub Repository
9. Brex's Prompt Engineering Guide
Brex's engineering team has published a practical guide to prompt engineering that focuses on real-world applications and business use cases.
Brex's Prompt Engineering Guide
10. ChatGPT Prompt Engineering for Developers
A course by DeepLearning.AI and OpenAI that teaches developers how to use LLMs effectively through prompt engineering.
ChatGPT Prompt Engineering for Developers
Conclusion
The field of prompt engineering is rapidly evolving, and staying updated with these resources will help you leverage LLMs more effectively. Whether you're implementing AI solutions in your business or exploring for personal projects, mastering prompt engineering will significantly improve your results.
Each resource offers unique perspectives and techniques, so I recommend exploring several to develop a well-rounded understanding of prompt engineering principles across different models and applications.
