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  3. Hack OpenAI System Prompts
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Hack OpenAI System Prompts

Hack OpenAI LLMs' System Prompts by Reverse Prompt Engineering.

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Introduction

Hack OpenAI System Prompts

Overview

This repository provides tools and methods to hack OpenAI's LLMs' system prompts through reverse prompt engineering.

Key Features
  • Reverse Prompt Engineering: Techniques to analyze and modify system prompts for better performance.
  • Customization: Users can customize their own LLM applications and develop plugins.
  • Risk Analysis: Analyze potential risks associated with using ChatGPT and other LLMs.
Benefits
  • Open Source: Contributes to the open-source community by providing valuable insights and tools.
  • Research Opportunities: Encourages research into why open-source LLMs may underperform compared to proprietary models like GPT-3.5.
Highlights
  • Includes various system prompts and examples for practical use.
  • Aims to enhance understanding of LLM functionalities and limitations.
Back

Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/26

Categories

  • AI Models
  • AI Application Platforms
  • AI Research Papers

Tags

  • Prompt Engineering
  • Open Source
  • LLM

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