A security attack where malicious instructions are embedded in user input to manipulate an AI model into ignoring its system instructions.
Prompt injection exploits the fact that LLMs can't reliably distinguish between developer instructions and user input. Attacks include direct injection ('ignore previous instructions and...'), indirect injection (hiding instructions in fetched web content), and data exfiltration through crafted prompts.
Validating and sanitizing user inputs before including them in LLM prompts, and using output filtering to catch manipulation attempts.
Prompt injection is the XSS equivalent for AI applications — any LLM-powered feature that processes user input is potentially vulnerable.
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The field focused on ensuring AI systems behave as intended, don't cause harm, and remain aligned wi...
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The maximum amount of text (measured in tokens) that a language model can process in a single reques...
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