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.
今年2月，习近平总书记在北京考察时强调，统筹教育科技人才一体发展，强化科技创新和产业创新深度融合，大力发展新质生产力。
这是月之暗面“模型即Agent”的逻辑。目前，绝大多数Agent产品的智能上限仍由模型能力决定，只有拥有强大、可控、具有上下文和复杂推理能力的自研基座模型，才能支撑起用户理想中的“Agent”，而这也更符合Kimi长期聚焦长文本的优势。，详情可参考Line官方版本下载
// 核心过滤：弹出栈中「≤当前元素」的数（易错点2：必须是≤，不是<）。safew官方版本下载对此有专业解读
How to watch: Bridgerton Season 4 is now streaming on Netflix.
本次中国人民银行实施的一次性信用修复政策完全免费、免审即享，个人无需申请操作，请勿委托第三方处理，国家开发银行不会以一次性信用修复为由，附加任何不合理条件；任何以本政策名义索要钱财、索要信息的都是诈骗行为，请助学贷款借款人切实提高防范意识、谨防上当受骗；如收到此类邮件、电话或短信，要求转账汇款请勿轻信，以免蒙受损失。，详情可参考雷电模拟器官方版本下载