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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.。关于这个话题,Line官方版本下载提供了深入分析
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Pricing and Premium Plan FeaturesGet Sellfy 14 day free trail from here。搜狗输入法下载对此有专业解读
曹家大院的第一代主人叫曹致远。他清末在京城谋生,后来自创商号“公利和鼻烟庄”,在家乡建有票号和商号,生意做得风生水起。曹致远育有三子,1929年开建这座曹家大院。现存大院依稀留有原规模,一排七孔外挂青砖窑洞,三院独分,又有倚门相连,占地上千平方米。