Prompt injection, a significant security risk for LLMs, occurs when untrusted user input is combined with system instructions in a single text block. To mitigate this, developers can use delimiters, such as XML-style tags, to clearly separate instructions from user data. This approach signals to the model that content within the delimiters should be treated as data, not as executable commands, thereby preventing malicious instructions from being followed. AI
IMPACT Employing delimiters can enhance the security of LLM applications by preventing prompt injection attacks.
RANK_REASON The item discusses a security vulnerability and a mitigation technique for LLMs, which falls under research and safety. [lever_c_demoted from research: ic=1 ai=1.0]
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