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How Attackers Trick AI: Lessons from Gandalf’s Creator

The AI Native Dev - from Copilot today to AI Native Software Development tomorrow

CHAPTER

Understanding AI Model Vulnerabilities: Types of Attacks Explained

This chapter explores different attacks that can compromise AI models, including prompt injection, jailbreaking, and data poisoning. It also emphasizes the significance of reinforcement learning with human feedback (RLHF) in ensuring the safety and alignment of AI systems.

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