PromptInject
Modular prompt assembly for robustness analysis of LLMs against adversarial attacks.
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—Overview
What is PromptInject?
PromptInject is a framework that assembles prompts in a modular fashion to provide quantitative analysis of the robustness of large language models (LLMs) to adversarial prompt attacks. It was awarded Best Paper at NeurIPS ML Safety Workshop 2022.
Key differentiator
“PromptInject stands out by providing a modular and quantitative approach to assessing LLM robustness against adversarial attacks, making it an essential tool for AI safety research.”
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Who is it for?
✓ Best for
Researchers studying adversarial attacks on LLMs who need a modular framework to assemble and test prompts
Teams developing AI safety measures for large language models in sensitive applications
✕ Not a fit for
Developers looking for real-time security monitoring solutions as PromptInject is focused on offline analysis
Projects with limited computational resources due to the potentially intensive nature of prompt evaluation
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Get Started with PromptInject
Step-by-step setup guide with code examples and common gotchas.