This repository is a comprehensive, curated list of resources for prompt engineering, targeting developers, researchers, and AI enthusiasts. It aims to consolidate learning materials, tools, techniques, and communities to facilitate the effective use of Large Language Models (LLMs).

How It Works

The project functions as a meta-resource, aggregating links and information across various categories related to prompt engineering. It covers foundational concepts, advanced techniques like Chain of Thought and Tree of Thoughts, prompt collections, academic papers, books, and community forums. The structure is designed for easy navigation and discovery of relevant materials for learning and applying prompt engineering.

Quick Start & Requirements

• Primary install / run command: Not applicable, as this is a curated list of resources, not executable software.
• Non-default prerequisites and dependencies: None.
• Highlighted Details
• Extensive coverage of prompt engineering techniques, including Few-Shot Learning, Chain of Thought, Tree of Thoughts, and Multi-Persona Collaboration.
• A vast collection of prompt examples and templates from various platforms like FlowGPT, PromptBase, and PromptDen.
• Links to key research papers, including foundational works like "Attention Is All You Need" and "Language Models are Few-Shot Learners."
• Curated lists of communities, playgrounds, and job boards related to prompt engineering.

Maintenance & Community

• The repository encourages community contributions for adding new resources, fixing errors, and improving descriptions.
• Links to relevant communities include OpenAI Discord, Attention Architects, and various subreddits like r/MachineLearning and r/ChatGPT.

Licensing & Compatibility

• The repository itself is not software and does not have a license. The linked resources may have their own licenses.

Limitations & Caveats

• As a curated list, the quality and up-to-dateness of individual resources depend on their original sources.
• The rapid evolution of prompt engineering means some linked information may become outdated.