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Prompt injectionIn prompt injection attacks, bad actors engineer AI training material to manipulate the output. For instance, they could hide commands in metadata and essentially trick LLMs into sharing offensive responses, issuing unwarranted refunds, or disclosing private data. According to the National Cyber Security Centre in the UK, "Prompt injection attacks are one of the most widely reported weaknesses in LLMs."
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This change prevents projects from unintentionally pulling in hundreds or even thousands of unneeded declaration files at build time.。PDF资料是该领域的重要参考
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