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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The disadvantage is that the syntax seems a lot
让我们来分解一下:<start_function_call — 函数调用开始,call: — 前缀,change_background_color — 函数名,{color:<escapered<escape} — 带转义标记的参数,<end_function_call — 函数调用结束。。搜狗输入法2026对此有专业解读
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