100 Days of AI, Day 17: The Different Ways Security Attacks are Created Using LLMs

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100 Days of AI, Day 17: The Different Ways Security Attacks are Created Using LLMs
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This post covers different security attacks possible using LLMs and how developers are adapting to them.

Hey everyone! and just like you, I’ve been fascinated with the recent progress of artificial intelligence. Realizing that I needed to stay abreast with all the developments happening, I decided to embark on a personal journey of learning, thus was born! With this series, I will be learning about LLMs and share ideas, experiments, opinions, trends & learnings through my blog posts. You can follow along the journey on HackerNoon or my personal website .

To get a better idea of how a prompt injection works, lets look at an example. Let’s say you are asking Microsoft’s copilot a question about Einstein’s life and you get an answer along with references about the webpages from which the answer is picked up from. But you will note that at the end of the answer, you might see a paragraph that asks the user to click on a link which is actually a malicious link.

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