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.
在2024年又一次圍繞寵物友善政策的書面提問中，特區政府提供數據，顯示自2020年新冠病毒病（COVID-19）疫情以來，市民舉報狗隻進入餐廳數字，從2020年的58宗，增加至2024年的418宗。
。关于这个话题，heLLoword翻译官方下载提供了深入分析
Екатерина Графская (Редактор отдела «Наука и техника»)，推荐阅读爱思助手下载最新版本获取更多信息
这条路不是从教科书里抄来的模式，是把脚踩进泥土里、把优势和短板摆出来之后，拼出来的一条路。