雖然專業的科學與工程職位是核心，但約70%的工作是維持研究站運作所需的營運角色。
在日照市昱岚新材料有限公司智能车间，一卷3毫米厚的钢卷从生产线一端“吞”入，5分钟后便从另一端“吐”出，化作厚度不足0.1毫米的薄钢板。“钢比纸薄”的行业奇迹，在此生动上演。
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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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蜜雪冰城要在河南老家建“雪王乐园”