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.
但从结果来看，千问在大部分时间已经超越元宝，成为C端AI应用的第二名（DeepSeek近期DAU数据未披露）。短短几个月内能够来到行业第二的位置，似乎也并不算是一种失败。。关于这个话题，新收录的资料提供了深入分析
极简风、静奢风、禅意风，消费者们这样概括这家酒店一呼一吸中的的设计语言，简洁利落的员工服饰、丰盛但清淡的餐饮，都成为了杭州滨江全季大观在业内独树一帜的理由。，这一点在新收录的资料中也有详细论述
投资者是否已经意识到苹果在应对内存价格上涨方面的出色表现？
«В пост ты тратишь меньше времени на походы по магазинам — потрать на что-то более полезное. На то, чтобы погулять с женой по парку или по сугробам, побыть с детьми и поиграть в настолки или в Genshin Impact. Почитать Евангелие, в конце концов», — сказал он.