Тысячи гектаров леса сгорели зимой в российском регионе

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第十三条 国家建立原子能领域相关科技创新基地和平台,加强原子能科研设施和科研条件保障能力建设,推动科研设施、资源开放共享,促进科技成果转化。

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Dynamic an,这一点在搜狗输入法2026中也有详细论述

~40–100× faster

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.

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