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velog
Score: 50.79Confidence: 43%
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THE AI OPPORTUNITY INDEX
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velog
Score: 50.79Confidence: 43%
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One video asset library shared with your whole team Discussion | Link
Score: 50.78Confidence: 46%
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A calm, native Markdown editor for your folders Discussion | Link
Score: 50.66Confidence: 46%
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Reach your home or work terminal when agents can't or won't Discussion | Link
Score: 50.64Confidence: 46%
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Explore real Jev agent builds, demos, and patterns Discussion | Link
Score: 50.62Confidence: 46%
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Audio first physiotherapy delivered via WhatsApp Discussion | Link
Score: 48.66Confidence: 46%
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Your gamepad is a musical instrument Discussion | Link
Score: 45Confidence: 46%
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AI photo critique: what to fix next and when to stop editing Discussion | Link
Score: 44.99Confidence: 46%
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附录 C:参数速查表 C.1 模型调用常用参数 参数 作用 范围 默认 调大 → 调小 → 注意 temperature 输出随机性 0~2 1.0 更发散/易幻觉 更确定/可复现 与 top_p 二
Score: 57.4Confidence: 54%
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前言 为什么写这本书 2024 年以来,AI Agent 从一个"听起来很酷"的概念,变成了真实跑在企业生产环境里的系统:查订单、写报告、做分析、管流程。但我在与大量开发者的交流中发现一个普遍的困境:
Score: 57.4Confidence: 54%
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附录 A:主流框架速查 A.1 框架总览 框架/协议 类型 核心概念 适合 正文章节 LangGraph 编排框架 图(StateGraph)+ 节点 + 条件边 复杂编排、生产级 6、10-16 章
Score: 57.4Confidence: 54%
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Anthropic 用 Terminal-Bench 3.0 把五档 effort 各跑了一遍:调高 effort 主要让 Claude 多做验证和边界测试,模型本身不会更聪明。附各档位的使用建议。
Score: 57.4Confidence: 54%
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