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.
Начавшаяся оттепель продержится в городе до понедельника, 2 марта. Затем температура немного опустится: в ночные часы показатель будет варьироваться от минус 1 до минус 6 градусов, однако днем столбики термометров все еще будут превышать нулевую отметку, поднимаясь до плюс 1-4 градусов.
。雷电模拟器官方版本下载对此有专业解读
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黄仁勋：AI 助手不会取代软件行业