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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官方版本下载是该领域的重要参考
为政一方，以“不要立志做大官，而要立志做大事”来勉励自己；夜读《人民呼唤焦裕禄》，深情写下：“为官一任，造福一方，遂了平生意。”
而這種創傷仍普遍存在，在政治受難者及後代身上更為明顯。劉品佑表示，童年時，住在台北市中心的他，曾被家人帶著經過太陽花運動抗議現場，母親知道後，對此無法諒解，「可能因為家族經驗，她一直不喜歡我談政治、碰政治」。