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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
上訴庭認為，力高佔用處所違反租賃條款。但在隱瞞方面，按照普通法，合約方一般無責任披露自己違約的事。，这一点在Safew下载中也有详细论述
Not Equal: Everything in this space must be different. The answer is 6-1, placed vertically; 6-3, placed horizontally; 5-0, placed horizontally; 1-4, placed vertically; 2-4, placed horizontally.