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Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
。Safew下载对此有专业解读
«Противники сделают свои собственные выводы. Вопрос, который они зададут, не в том, можно ли поразить авианосцы. В этом никогда не было сомнений. Вопрос в том, ограничит ли попадание принятие решений США», — заключает автор.
蓋茨在今年2月受澳洲媒體9News訪問時表示，他與愛潑斯坦的互動僅限於一起用餐，而他對此感到後悔，「我為曾經這樣做而道歉」。