Unveiling Leaked System Prompts: A Deep Dive into LLMs

In the ever-evolving landscape of artificial intelligence, understanding the underlying mechanisms of large language models (LLMs) is crucial. A fascinating open-source project on GitHub, aptly named 'leaked-system-prompts' by jujumilk3, offers an unparalleled glimpse into this world. This repository meticulously compiles system prompts from a wide array of prominent LLM-based services, including powerhouses like OpenAI, Anthropic's Claude, Google's Gemini, and many others.

What are System Prompts?

System prompts are the initial, often hidden, instructions that guide an LLM's behavior and set its context for a given interaction. They dictate the AI's persona, its limitations, its safety protocols, and its overall operational framework. While user-facing prompts are what we typically interact with, system prompts act as the AI's foundational programming, influencing everything from creative writing to complex problem-solving.

The Value of 'Leaked' Prompts

The term 'leaked' in this context refers to prompts that have been discovered or inferred through various means, rather than officially published by the service providers. This collection is invaluable for several reasons:

  • Transparency: It sheds light on the 'black box' nature of LLMs, offering a rare look at how these sophisticated models are internally directed.
  • Research & Development: Researchers can analyze these prompts to better understand AI alignment, bias mitigation, and the techniques used to control AI outputs.
  • Prompt Engineering: Developers and prompt engineers can learn from the structure and content of these professional-grade prompts, enhancing their own ability to craft more effective interactions with AIs.
  • Security & Ethics: Examining these prompts can also reveal potential vulnerabilities or ethical considerations in current AI deployments.

A Glimpse Inside the Repository

The 'leaked-system-prompts' repository is organized, with separate markdown files for prompts related to different LLMs and their versions. For instance, you'll find files pertaining to:

  • Anthropic Claude: Various versions like Claude 3 Haiku, Opus, Sonnet, and Claude API tool-use examples.
  • OpenAI: Prompts for ChatGPT, DALL-E, Assistants API, and internal research models.
  • Google: Including prompts for Google Gemini models.
  • Other notable services: Such as Discord Clyde, GitHub Copilot, Microsoft Bing Chat/Copilot, Perplexity.ai, xAI Grok, and many more, showcasing the diversity of AI applications.

The project maintains a commitment to verifiability, encouraging contributions that include sources or reproducible prompts. This ensures the integrity and utility of the collected data.

Contributing to the Collection

The maintainer actively encourages contributions from the community, requiring submitted prompts to match an established format and include verifiable sources. This collaborative approach enhances the completeness and accuracy of the repository, making it a living document for AI understanding.

In summary, the 'leaked-system-prompts' GitHub repository is a goldmine for anyone interested in deciphering the intricate workings of modern LLMs. It stands as a testament to the open-source community's role in demystifying AI and fostering a deeper, more transparent approach to its development.

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