Welcome to my repository dedicated to the art and science of prompt engineering! This collection represents my journey and expertise in crafting effective prompts for Large Language Models (LLMs).
This repository serves as a comprehensive resource for both newcomers and experienced practitioners in prompt engineering. I share my carefully designed prompts, battle-tested techniques, and insights gained from extensive experimentation with various LLM interactions.
prompt-engineering-repo/
├── LICENSE
├── README.md
├── CONTRIBUTING.md
├── CHANGELOG.md
├── .gitignore
│
├── prompts/
│ ├── text_generation/
│ │
│ └── summarization/
│
├── experiments/
│
├── docs/
│
└── templates/
- Curated collection of high-performing prompts across different use cases
- Detailed breakdowns of prompt patterns and their effectiveness
- Progressive learning path from basic to advanced prompt engineering concepts
- Practical examples demonstrating various prompting methods
- Documentation of basic and advanced techniques like chain-of-thought, few-shot learning, and role prompting
Whether you're taking your first steps in prompt engineering or looking to master advanced techniques, you'll find valuable resources here. I cover everything from simple completion prompts to complex systems using meta-prompting and prompt chaining.
Effective prompt engineering is the key to unlocking the full potential of AI models. It's not just about asking questions—it's about understanding how to communicate with AI to achieve optimal results. Through this repository, I aim to share knowledge that helps others master this crucial skill.
Feel free to explore, experiment, and contribute!
Note: This is a living repository. I regularly update it with new findings, techniques, and examples as the field evolves.