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.
分析机构普遍把这次CEO变更解读为：用创始人重新亲自掌舵AI方向，向市场传递公司会更坚定押注AI，同时希望缓解投资者对战略节奏、成本控制的担忧。
。WPS下载最新地址对此有专业解读
香港警方回覆BBC表示，他們「依法辦事」，並「譴責任何惡意抹黑警隊及煽動公眾恐慌的企圖」。
（二）政府拨付和接受社会捐赠的资金、物资管理使用情况；