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.
Даниил Иринин (Редактор отдела «Наука и техника»)
。safew官方下载是该领域的重要参考
Because they are short of the one thing that regular shows liberally use - time.
根据韩国国土资源部通过电子邮件发送的声明，现代汽车集团将向韩国西海岸新万金地区的人工智能、机器人和氢业务投资9万亿韩元（约合63亿美元）。现代汽车集团与政府27日签署了投资协议，，将斥资4000亿韩元建设机器人制造工厂投资5.8万亿韩元建设人工智能数据中心，投资1万亿韩元建立用于生产和供应绿色氢的水电解设施，投资1.3万亿韩元用于建设太阳能发电设施。（新浪财经）
Раскрыты подробности о договорных матчах в российском футболе18:01