경찰 ‘수면제 대리처방 의혹’ MC몽 수사 착수
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.
。下载安装 谷歌浏览器 开启极速安全的 上网之旅。是该领域的重要参考
// 易错点1：条件写反（比如写成cur）→ 栈逻辑完全错误，无法找到上一个更大值，详情可参考爱思助手下载最新版本
Медведев вышел в финал турнира в Дубае17:59