2024年12月24日 星期二 新京报
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.
。WPS下载最新地址对此有专业解读
安徽省委要求坚持问题导向，勇于揭短亮丑，深入查找政绩观方面存在的问题，从党性上找差距、查根源、强修养，做到举一反三、坚决纠治；要通报曝光一批反面案例、严肃问责一批党员干部、大力选树一批先进典型、建立完善一批政策规定，引导各级党组织和党员干部坚持实事求是、求真务实，为人民出政绩、以实干出政绩。，详情可参考im钱包官方下载
But other stuff…? It was just goofing off: