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.
各地区各部门各单位教育引导党员干部深入学习习近平总书记关于树立和践行正确政绩观的重要论述，深入学习《中共中央关于制定国民经济和社会发展第十五个五年规划的建议》，深入学习习近平总书记关于本地区本部门本领域的重要讲话和重要指示精神，推动学习教育走深走实。
。业内人士推荐heLLoword翻译官方下载作为进阶阅读
Namespaces as visibility wallsLinux namespaces wrap global system resources so that processes appear to have their own isolated instance. There are eight types, and each isolates a specific resource.
在豆瓣平台，《阿凡达 3》获得 7.6 分评价。，更多细节参见旺商聊官方下载
我們需要對AI機器人保持禮貌嗎？。业内人士推荐同城约会作为进阶阅读
What is this page?