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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.
，这一点在heLLoword翻译官方下载中也有详细论述
Израиль нанес удар по Ирану09:28
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36氪获悉，格力电器公告，第一大股东珠海明骏投资合伙企业（有限合伙）拟自公告披露之日起15个交易日后的3个月内，以大宗交易方式减持公司股份不超过11170.28万股，占公司剔除回购专用账户股份后的总股本的2%；减持原因为偿还银行贷款；股份来源为2020年1月23日通过协议转让自格力集团受让的股份。