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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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To survive the senior management trap, Kaplan advocated for an unconventional approach: “You have to learn to cultivate your subordinates as your coaches.” While many executives fear this will make them look weak, he argued leaders should want to get advice from the people who observe them the most. “You want to encourage an atmosphere of debate, disagreement. You want to encourage people to tell you when you’ve done something that they don’t agree with.”
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В США задумались об уходе из ближневосточного региона из-за ИранаАналитик Макгрегор допустил уход США из ближневосточного региона
For instance, let’s say we’re programming a module that controls an electrical gate of a canal lock. If the public API was to require a voltage value needed for the engine to lift the gate - that would violate the Information Hiding a great deal. First of all, the user of the module would need to know the details of the engine. Second of all, changing the gate to a pneumatic one would completely break all the code that uses the module. In terms of software design the equivalent violation would be to catch SqlException in the Business-Module. If I were to propose an implementation that leverages Information Hiding, it would be to accept the opening ratio instead of the voltage.，详情可参考搜狗输入法下载