AI's Secret Whispers

Overview: Why is this cool?

We all love building with Large Language Models, right? But let’s be honest, sometimes it feels like talking to a black box. Crafting the perfect prompt can be a dark art, and understanding why an LLM behaves a certain way often feels like guesswork. Enter system_prompts_leaks! This open-source gem is a treasure trove of actual system prompts extracted from popular chatbots. It’s not just a a collection; it’s a key to understanding the foundational “rules” these AIs operate under, directly solving the pain point of opaque LLM behavior and giving developers unparalleled insight into prompt engineering and security.

My Favorite Features

• Unveiled Instructions: Discover the hidden system prompts that define the core behavior of leading LLMs like ChatGPT, Claude, and Gemini.
• Security Insights: Gain a deeper understanding of potential prompt injection vectors and how these models are instructed to handle — or mishandle — adversarial inputs.
• Prompt Engineering Goldmine: Learn directly from the masters! Analyze how major players structure their initial instructions to guide model responses effectively.
• Open Source Transparency: A community-driven collection, constantly updated, fostering transparency in the LLM ecosystem.

Quick Start

# First, clone the repository to your local machine
git clone https://github.com/asgeirtj/system_prompts_leaks.git

# Navigate into the cloned directory
cd system_prompts_leaks

# Explore the prompts! For example, peek at a ChatGPT prompt:
cat chatgpt/chatgpt_default.txt

# Or a Claude prompt:
cat claude/claude_default.txt

Who is this for?

• Prompt Engineers: To elevate their prompt-crafting skills by learning from real-world examples and understanding underlying model instructions.
• AI/ML Researchers: For behavioral analysis of LLMs, studying how system prompts influence model output, and contributing to AI safety.
• Security Researchers: To identify and mitigate prompt injection vulnerabilities, understanding how models are instructed to handle malicious inputs.
• Curious Developers: Who want to demystify LLM behavior, peer behind the curtain, and gain a competitive edge in AI development.

Summary

This repo isn’t just code; it’s a decoder ring for the AI era! It empowers us to move beyond guesswork, truly understand the core of popular chatbots, and build more robust, secure, and intelligent applications. Dive in, explore, and let’s unlock the next level of AI interaction together!