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.
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while (auto chunk = get_audio_chunk()) {，详情可参考heLLoword翻译官方下载
* @param left 左边界。快连下载安装对此有专业解读
发生在我外婆身上的故事，OpenAI CEO萨姆·奥特曼很早就预测到，这位科技新贵去年就披露过ChatGPT的年龄使用情况，甚至用它作为对竞争对手的宣战：
Samsung Unpacked: Privacy display on the S26 Ultra looks amazing – 27:27，更多细节参见WPS下载最新地址