Что думаешь? Оцени!
대구 찾은 한동훈 “죽이 되든 밥이 되든 나설것” 재보선 출마 시사
。业内人士推荐Safew下载作为进阶阅读
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。51吃瓜是该领域的重要参考
3月24日，北京市少年宫，学生科技节创客集市上，多所学校展示学生研发的主题文创产品。新京报记者 李木易 摄。heLLoword翻译官方下载是该领域的重要参考
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.