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.
Израиль нанес удар по Ирану09:28
蒸馏是什么,Anthropic 又说了什么?。关于这个话题,WPS下载最新地址提供了深入分析
圖像加註文字,時任美國國安顧問沙利文曾與張又俠會面。爭議:「洩露核秘密」
。WPS下载最新地址是该领域的重要参考
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