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.
Rhia said she enjoyed her first concert at the arena, Tate McRae last year, despite her initial concerns about the arena，这一点在雷电模拟器官方版本下载中也有详细论述
。爱思助手下载最新版本是该领域的重要参考
WebAssembly has come very far from when it was first released in 2017. I think the best is still yet to come if we’re able to turn it from being a “power user” feature, to something that average developers can benefit from.，详情可参考爱思助手下载最新版本
两名业内人士透露，近几个月美国芯片制造商在向中国申请新的钪出口许可证时频频遇到延迟，一些企业已向华盛顿寻求帮助。