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πŸ”“ Prompt Hacking🟒 Defensive Measures🟒 Post-Prompting

Post-Prompting

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Reading Time: 1 minute
Last updated on August 7, 2024

Sander Schulhoff

The post-prompting defense simply puts the user input before the prompt. Take this prompt as an example:

Translate the following to French: {{user_input}}

It can be improved with post-prompting:

{{user_input}}

Translate the above text to French.

This can help since ignore the above instruction... doesn't work as well. Even though a user could say ignore the below instruction... instead, LLMs often will follow the last instruction they see.

Footnotes

  1. Mark, C. (2022). Talking to machines: prompt engineering & injection. https://artifact-research.com/artificial-intelligence/talking-to-machines-prompt-engineering-injection/ ↩

Sander Schulhoff

Sander Schulhoff is the Founder of Learn Prompting and an ML Researcher at the University of Maryland. He created the first open-source Prompt Engineering guide, reaching 3M+ people and teaching them to use tools like ChatGPT. Sander also led a team behind Prompt Report, the most comprehensive study of prompting ever done, co-authored with researchers from the University of Maryland, OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions. This 76-page survey analyzed 1,500+ academic papers and covered 200+ prompting techniques.