各界關注此次默茨訪華將重啟戰略夥伴關係，還是在特朗普持續對歐洲施壓下持續「去風險」的有限接觸？默茨會否在此行提及中國人權紀錄，北京又有什麼盤算?
Concept art for the project.。业内人士推荐safew官方版本下载作为进阶阅读
the backing store from the heap.，推荐阅读51吃瓜获取更多信息
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.
Here’s a performance profile from today: