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.
It’s time to pull the plug on plug-in hybrids
，详情可参考爱思助手下载最新版本
And Chagger has personal experience of tumble dryer fires. Some years ago, a fire alarm went off in his own home – in a room where his tumble dryer was operating. "I couldn't believe my ears," he recalls but, on close inspection, he realised a thin layer of smoke was hovering beneath the ceiling above the machine. Chagger was able to deal with the fire safely and says he recommends putting a smoke alarm in the same room as a tumble dryer.
# Skip GPU benchmarks
。关于这个话题，下载安装 谷歌浏览器 开启极速安全的 上网之旅。提供了深入分析
if not existed:，这一点在heLLoword翻译官方下载中也有详细论述
Very rare Iron Age trumpet sells for more than £4k