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Understanding LLM Jailbreaking: How to Protect Your Generative AI Applications

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Manage episode 415707347 series 3435981
Content provided by Krista Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krista Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Generative AI, with its ability to produce human-quality text, translate languages, and write different kinds of creative content, is changing the way people work. But just like any powerful technology, it's not without its vulnerabilities. In this podcast, we explore a specific threat—LLM jailbreaking—and offer guidance on how to protect your generative AI applications.

What is LLM Jailbreaking?

LLM vandalism refers to manipulating large language models (LLMs) to behave in unintended or harmful ways. These attacks can range from stealing the underlying model itself to injecting malicious prompts that trick the LLM into revealing sensitive information or generating harmful outputs.

More at krista.ai

  continue reading

41 episodes

Artwork
iconShare
 
Manage episode 415707347 series 3435981
Content provided by Krista Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krista Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Generative AI, with its ability to produce human-quality text, translate languages, and write different kinds of creative content, is changing the way people work. But just like any powerful technology, it's not without its vulnerabilities. In this podcast, we explore a specific threat—LLM jailbreaking—and offer guidance on how to protect your generative AI applications.

What is LLM Jailbreaking?

LLM vandalism refers to manipulating large language models (LLMs) to behave in unintended or harmful ways. These attacks can range from stealing the underlying model itself to injecting malicious prompts that trick the LLM into revealing sensitive information or generating harmful outputs.

More at krista.ai

  continue reading

41 episodes

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