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.
// 易错点1：必须倒序遍历（正序无法正确缓存右侧的更大值）
。关于这个话题，夫子提供了深入分析
Welcome to the big leagues, Netflix
If you’d rather have one, much larger network in your home, you’re better off upgrading to mesh networking systems. Mesh systems come with a main router and a wireless access point or two that, by default, create one large Wi-Fi system that should be accessible throughout your whole home. They tend to be the best Wi-Fi routers you can get, but that also translates to more expensive, and possibly more complicated, devices. Mesh Wi-Fi systems are, by far, more costly than a simple extender, plus you may have to work with your internet service provider to get your home’s existing network working on your new router.，推荐阅读heLLoword翻译官方下载获取更多信息
Раскрыты подробности похищения ребенка в Смоленске09:27
Rank-1 linear, factorized embed, sparse gate, param-free norm，推荐阅读91视频获取更多信息