Мерц резко сменил риторику во время встречи в Китае09:25
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.
，详情可参考WPS官方版本下载
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《工业互联网和人工智能融合赋能行动方案》《“人工智能+制造”专项行动实施意见》发布，促进数字技术与实体经济全链条深度融合；《关于推进职业技能证书互通互认的通知》印发，破除技能人才流动壁垒，促进技能人才资源合理流动、有效配置……
，更多细节参见safew官方下载
How to watch Samsung Unpacked 2026 - and what to expect
Apollo Phantom 2.0 for $2099 ($900 Off)，更多细节参见下载安装 谷歌浏览器 开启极速安全的 上网之旅。