
Beyond Guardrails: Defending LLMs Against Sophisticated Attacks
The Data Exchange with Ben Lorica
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Navigating AI Policy Challenges
This chapter examines the encoding policy in language models, highlighting both defensive and offensive methods used to ensure AI safety. It focuses on the concept of policy puppetry, where attackers manipulate model responses, and discusses the vulnerabilities in multimodal AI applications. The conversation also underscores the importance of maintaining security and brand integrity in chatbot interactions to prevent misuse.
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