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是一款企业级婚礼平台，采用真正的多租户架构设计，实现租户间数据库隔离，并内置国际化支持，以确保全球可扩展性、安全性及长期运营稳定性。","\u002Fuploads\u002F2026\u002F01\u002Fenterprise-grade-multi-tenant-architecture-for-an-international-platform-1769789121298-b6v7ak.webp","2026-01-30T12:04:00.000Z",{"id":404,"slug":405,"title":406,"excerpt":407,"featuredImage":408,"publishedAt":409},"463","prompt-invariance-does-the-conclusion-survive-the-prompt","提示不变性：结论在提示变化后是否依然成立？","一种用于检验AI结论是否依赖于问题表述方式的实用方法。提示不变性比较原始、盲测、反向和对抗性表述，同时保持证据结构受控。","\u002Fuploads\u002F2026\u002F09\u002Fprompt-invariance-does-the-conclusion-survive-the-prompt-1789809799910-s0vbcb.webp","2026-09-19T01:09:00.000Z",{"id":411,"slug":412,"title":413,"excerpt":414,"featuredImage":415,"publishedAt":416},"436","triggers","企业AI运行手册中回滚触发器的全面指南","本指南探讨回滚触发器，这是企业AI运行手册中的关键机制，能自动检测异常并启动回滚以维持系统稳定。了解如何配置、监控和优化这些触发器，以实现稳健的AI部署。","\u002Fuploads\u002F2026\u002F06\u002Ftriggers-1781855500994-cibuou.webp","2026-03-01T16:51:00.000Z",{"id":418,"slug":419,"title":420,"excerpt":421,"featuredImage":422,"publishedAt":423},"450","google-io-2026-gemini-omni-and-gemini-3-5","Google I\u002FO 2026：Gemini Omni、Gemini 3.5 以及驱动自主式AI的计算层","Google I\u002FO 2026 将 Gemini Omni 和 Gemini 3.5 置于谷歌代理型 AI 战略的核心。本文解析了多模态创作与行动级智能之间的区别，阐释了 Gemini 3.5 Flash 对代理和编码的重要性，以及这些模型如何驱动更广泛的 Google I\u002FO 2026 平台转型。","\u002Fuploads\u002F2026\u002F05\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5-1779227791401-6hzln1.webp","2026-05-21T11:01:00.000Z",{"id":425,"slug":426,"title":427,"excerpt":428,"featuredImage":429,"publishedAt":430},"448","google-io-2026-android-xr-and-intelligent-eyewear","Google I\u002FO 2026：Android XR、智能眼镜与环境AI界面","Google I\u002FO 2026 将 Android XR 和智能眼镜从概念推向实际平台方向。本文解析了音频眼镜、显示眼镜、Gemini 驱动的上下文感知、开发者影响、隐私风险，以及为何可穿戴 AI 更关乎创造环境辅助界面，而非取代手机。","\u002Fuploads\u002F2026\u002F05\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear-1779227942270-dtsm9y.webp","2026-05-21T11:05:00.000Z",{"id":432,"slug":433,"title":434,"excerpt":435,"featuredImage":436,"publishedAt":437},"477","computer-use-agents-why-a-successful-demo-can-still-be-an-unreliable-system","计算机使用代理：为什么成功的演示仍可能是一个不可靠的系统","计算机使用代理如今能够完成令人印象深刻的浏览器和桌面工作流程，但一次成功的运行证明的是能力——而非可靠性。本文展示了如何测试可重复性、环境鲁棒性、长时程控制、状态感知、结果验证以及安全的目标处理。","\u002Fuploads\u002F2026\u002F09\u002Fcomputer-use-agents-why-a-successful-demo-can-still-be-an-unreliable-system-1790352854690-75qnrg.webp","2026-09-25T12:13:00.000Z",{"id":439,"slug":440,"title":441,"excerpt":442,"featuredImage":443,"publishedAt":444},"471","how-to-know-whether-an-ai-agent-actually-used-the-right-evidence","如何判断一个AI智能体是否真正使用了正确的证据","AI代理可以引用来源，却仍然使用错误的证据。本文介绍一种实用方法，用于核查主张支持、来源权威性、适用性、出处，以及证据是否实际影响了答案。","\u002Fuploads\u002F2026\u002F09\u002Fhow-to-know-whether-an-ai-agent-actually-used-the-right-evidence-1790351317188-o5z9ve.webp","2026-09-25T11:47:00.000Z",{"id":446,"slug":447,"title":448,"excerpt":449,"featuredImage":450,"publishedAt":451},"459","ollama-is-not-the-product-building-production-ready-open-llm-applications","Ollama 并非产品：构建可投入生产的开源大语言模型应用","使用Ollama运行本地模型很简单。但构建一个可用于生产环境的开源大语言模型（Open-LLM）应用则更具挑战性：它需要RAG（检索增强生成）、访问控制、供应商抽象、评估、日志记录、部署规范，以及围绕模型构建受控的应用层。","\u002Fuploads\u002F2026\u002F06\u002Follama-is-not-the-product-building-production-ready-open-llm-applications-1782679361640-h0usqf.webp","2026-06-28T16:39:00.000Z",{"id":453,"slug":454,"title":455,"excerpt":456,"featuredImage":457,"publishedAt":458},"10","portal-development-a-scalable-platform-for-performance-multilingual-support-and-extensibility","门户开发：一个可扩展的平台，专注于性能、多语言支持与可扩展性","Ein modernes Webportal wird entwickelt, das auf Skalierbarkeit, Leistung, Mehrsprach","\u002Fuploads\u002F2026\u002F01\u002Fportal-development-a-scalable-platform-for-performance-multilingual-support-and-extensibility-1769006690165-vklvij.webp","2026-01-21T10:32:00.000Z",{"id":460,"slug":461,"title":462,"excerpt":463,"featuredImage":464,"publishedAt":465},"461","beyond-prompt-engineering-a-methodology-for-more-reliable-ai-reasoning","超越提示工程：一种更可靠的人工智能推理方法","大型语言模型未必是因为缺乏推理能力而失败。它们常常失败，是因为推理过程没有得到充分的约束、质疑或验证。本文提出一种与领域无关的方法论，将提示转化为一种结构化的认知过程：将事实与假设分离，生成相互竞争的假说，检验反证，应用证伪，并检查结论在替代性框架下是否仍然稳定。目标不是让模型“更少同意”，而是让它的结论更少依赖于用户最初的框架。","\u002Fuploads\u002F2026\u002F09\u002Fbeyond-prompt-engineering-a-methodology-for-more-reliable-ai-reasoning-1789804466431-qba1zb.webp","2026-09-19T00:55:00.000Z",{"id":467,"slug":468,"title":469,"excerpt":470,"featuredImage":471,"publishedAt":472},"451","test-dev-enterprise","Test DEv Enterprise Stajic.de 全面指南：架构与最佳实践","探索使用 Test DEv Enterprise Stajic.de 管理企业级开发和测试环境的架构原则、优势及技术细节。","\u002Fuploads\u002F2026\u002F05\u002Ftest-dev-enterprise-1779534260081-r4dvxn.webp","2026-05-22T23:01:00.000Z","fallback",[],[]]