Defending LLM - Prompt Injection

After we explored attacking LLMs, in this video we finally talk about defending against prompt injections. Is it even possible?

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Watch the complete AI series:
   • Hacking Artificial Intelligence  

Language Models are Few-Shot Learners: https://arxiv.org/pdf/2005.14165.pdf
A Holistic Approach to Undesired Content Detection in the Real World: https://arxiv.org/pdf/2208.03274.pdf

Chapters:
00:00 - Intro
00:43 - AI Threat Model?
01:51 - Inherently Vulnerable to Prompt Injections
03:00 - It's not a Bug, it's a Feature!
04:49 - Don't Trust User Input
06:29 - Change the Prompt Design
08:07 - User Isolation
09:45 - Focus LLM on a Task
10:42 - Few-Shot Prompt
11:45 - Fine-Tuning Model
13:07 - Restrict Input Length
13:31 - Temperature 0
14:35 - Redundancy in Critical Systems
15:29 - Conclusion
16:21 - Checkout LiveOverfont

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