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本文介绍一个完整的"AI智能体工厂"平台的设计与实现。该平台以本体模型(Ontology Model)作为中间表示层,打通了从原始业务需求到可运行AI智能体的完整链路:需求探索 → 本体建模 → 可视化验证 → 能力代码生成 → 技能封装 → Agent动态发布。 今天完整分享下最近通过AI编程实现的一个基于本体模型+AI大模型驱动的端到端AI智能体交付平台。包括需求分析,整体设计,核心功能实现。
本文介绍如何构建一套文本聚类流水线,将大语言模型嵌入与基于密度的聚类算法 HDBSCAN 相结合,在无标注文本数据中自动发现主题。 当前的生成式 AI热潮,表面上似乎主要集中在聊天界面与提示词工程,但大语言模型(LLM)的实际应用范围远不止于此。
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