在集市上买了条罩衣围裙,15元。每次做完饭摘围裙时,像从手术台下来。以前,我扎那种半身围裙。这种带袖围裙,我只在婆婆家穿过一回。我娘家的女性很奇怪,除了我,她们都不爱扎围裙。这条围裙我超爱,有时一整天都穿着它,出门都不想脱。
ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45
,这一点在旺商聊官方下载中也有详细论述
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.
https://feedx.site
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