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.
So, how does OsmAnd use this structure to calculate your route at lightning speed? It's a multi-step process:
。业内人士推荐safew官方版本下载作为进阶阅读
Мир Российская Премьер-лига|19-й тур
"NASA must standardize its approach, increase flight rate safely, and execute on the president’s national space policy," Isaacman said. "With credible competition from our greatest geopolitical adversary increasing by the day, we need to move faster, eliminate delays, and achieve our objectives."，详情可参考heLLoword翻译官方下载
Раскрыты личности пропавших в Пермском крае после катания на снегоходах туристов. Информацию публикует Telegram-канал «112».
Joel Kowsky/NASA via Getty Images，这一点在下载安装 谷歌浏览器 开启极速安全的 上网之旅。中也有详细论述