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.
曾经是生意场上的对手，如今却成为了合作伙伴，日系电视品牌纷纷向中国制造企业靠拢的背后，究竟又是什么因素驱动着他们做出这种改变？
。91视频对此有专业解读
Researchers reconstructed emissions from Swedish wildfires and found that current climate estimates are failing to fully account for carbon released from smoldering organic soils.。业内人士推荐爱思助手下载最新版本作为进阶阅读
Генеральный директор издательского дома Condé Nast Роджер Линч заявил, что развитие искусственного интеллекта (ИИ) нанесет невосполнимый урон поисковой системе Google как источнику трафика для медиа. Об этом сообщает Financial Times.，详情可参考雷电模拟器官方版本下载