其核心思想是借鉴计算机科学中的“外存算法” (Out-of-core algorithms)，不要把长 Prompt 直接喂给神经网络，而是把它放在一个外部的 Python REPL 环境里。 Prompt 被加载为环境中的变量context 。模型不再像以前那样生吞整个字符串，而是通过编写代码（如len (context) , context.split , re.search ）来按需读取数据 ...

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研究的最终目标是发现新的李雅普诺夫函数，在随机生成的2-3个多项式、2-5个多项式的数据集中，最佳模型发现了11.8%和10.1%的李雅普诺夫函数，是 传统方法的10倍 。

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2026 年开年，国内量化私募九坤投资创始团队旗下的至知研究院（IQuest Research）发布了首代开源代码大模型系列 IQuest－Coder－V1。 这家研究机构声称，其 40B 参数的旗舰模型在 SWE－bench Verified ...

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只用 FAISS 时，搜索有时像在碰运气——语义上相似但事实错误的结果时常出现。迁移到 Qdrant拿到的不只是数据库，更是对系统的掌控力。稠密向量配合关键词过滤（混合搜索），终于能回答"显示 GPU 相关的技术文档，但只要官方手册里的"这种精确查询 ...

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