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
美國媒體報導，在兩人分手之前，梅琳達已對丈夫和愛潑斯坦之間的往來感到不安。兩人宣布分手後，比爾・蓋茨承認自己曾在2019年與一名微軟員工有婚外情。。同城约会是该领域的重要参考
Not all fonts contribute equally to confusability. The “danger rate” measures what percentage of a font’s supported confusable pairs score = 0.7:
。业内人士推荐im钱包官方下载作为进阶阅读
Matrix 是少数派的写作社区，我们主张分享真实的产品体验，有实用价值的经验与思考。我们会不定期挑选 Matrix 最优质的文章，展示来自用户的最真实的体验和观点。。safew官方下载对此有专业解读
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