This repository is a curated collection of resources for AI Red Teaming, jailbreaking, and prompt injection, targeting security researchers, AI developers, and ethical hackers. It aims to consolidate scattered information to foster a better understanding of Large Language Model (LLM) vulnerabilities and promote responsible AI development.

How It Works

The project functions as an "awesome list," aggregating links to blogs, communities, courses, events, research papers, tools, and YouTube content related to prompt hacking. It categorizes these resources to provide a structured overview of the field, covering topics from basic prompt injection techniques to advanced adversarial LLM behavior and AI safety.

Quick Start & Requirements

This is a curated list of resources, not a software package. No installation or execution is required.

Highlighted Details

• Comprehensive coverage of AI security blogs, including those from major tech companies like Microsoft, Cisco, and AWS.
• Extensive list of Discord and Reddit communities dedicated to AI safety, cybersecurity, and prompt hacking discussions.
• Categorized learning resources, including free and paid courses on prompt engineering, AI red teaming, and LLM security.
• A dedicated section for "Jailbreaks" detailing repositories, tools, and research papers on bypassing LLM safeguards.

Maintenance & Community

The repository is provided by Learn Prompting and encourages community contributions via pull requests following their CONTRIBUTING.md guidelines. Links to Learn Prompting's Discord, Twitter, LinkedIn, and newsletter are provided for community engagement.

Licensing & Compatibility

The repository itself is likely under a permissive license (indicated by the "Awesome" badge, often associated with MIT-licensed lists), but the linked resources may have their own licenses. Compatibility for commercial use depends on the licenses of the individual linked resources.

Limitations & Caveats

As a curated list, the quality and up-to-dateness of the linked resources depend on external maintainers. The rapid evolution of AI security means some information may become outdated quickly.