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.
从1994年 FGFR3靶点被证实与ACH相关，到2021年Vosoritide获批上市，ACH患者等待了近30年，才迎来首款针对性治疗药物。而随着Infigratinib叩响上市的大门，以及身后一众迭代疗法的逼近，ACH精准治疗的新大门正加速开启。这也是罕见病从被行业忽略到逐渐被重视的真实缩影。。safew官方版本下载对此有专业解读
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