This repository is a curated collection of resources for prompt engineering, targeting researchers, developers, and enthusiasts working with large language models (LLMs) like GPT, ChatGPT, and PaLM. It aims to provide a comprehensive overview of papers, tools, datasets, models, and educational materials to advance the practice of prompt engineering.

How It Works

The repository functions as a central hub, aggregating links to academic papers, open-source tools, APIs, datasets, and models relevant to prompt engineering. It categorizes these resources to facilitate discovery and learning, covering various aspects from prompt techniques and reasoning to applications and threat detection.

Quick Start & Requirements

This repository is a curated list and does not require installation or execution. It serves as a reference guide.

Highlighted Details

• Extensive collection of academic papers on prompt engineering techniques, reasoning, evaluation, and applications.
• Curated list of open-source tools and frameworks for prompt management, testing, and LLM interaction.
• Links to various APIs (OpenAI, Cohere, Anthropic) and models (ChatGPT, BLOOM, GPT-NeoX) relevant to prompt engineering.
• Includes datasets for prompt engineering practice and AI content detection resources.
• Offers educational materials such as courses, tutorials, and videos on prompt engineering.

Maintenance & Community

The project encourages community contributions via its contribution guidelines. It lists several Discord communities for prompt engineering and LLM enthusiasts.

Licensing & Compatibility

The repository itself is a collection of links and does not have a specific license. The linked resources may have their own licenses.

Limitations & Caveats

As a curated list, the content's recency and completeness depend on community contributions. Some linked resources may be behind paywalls or require specific API keys.