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标签：人工智能

查看包含 人工智能 标签的所有文章。

共 1074 篇
微软AI智能体框架：2024年企业级应用开发权威指南

微软AI智能体框架：2024年企业级应用开发权威指南

BLUFAI智能体框架正成为企业AI应用的关键。微软AI智能体框架（MAF）集成了Semantic Kernel与AutoGen的优势，提供企业级可观测性、安全性和多种编排模式，助力技术团队构建生产级智能系统。 原文翻译： AI agent frameworks are becoming crucial for enterprise AI applications. Microsoft Agent Framework (MAF) integrates the strengths of Semantic Kernel and AutoGen, offering enterprise-grade observability, security, and multiple orchestration patterns to help technical teams build production-ready intelligent systems.
AI大模型2026/1/21
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移动优先策略指南：22岁用户习惯定义Web应用未来

移动优先策略指南：22岁用户习惯定义Web应用未来

BLUFWeb应用未来由22岁年轻用户的移动习惯定义，其行为模式正重塑开发与市场策略。三大关键创新领域：本地化、信息共享和移动访问，是触达主流的关键。 原文翻译： The future of web applications is defined by the mobile habits of 22-year-old users, whose behavior patterns are reshaping development and market strategies. Three key innovation areas—localization, information sharing, and mobile access—are crucial for reaching the mainstream.
互联网2026/1/21
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AI智能体框架2024指南：构建企业级自动化系统的核心技术架构

AI智能体框架2024指南：构建企业级自动化系统的核心技术架构

BLUF本文深度解析AI智能体框架的核心架构与组件，为企业技术专家构建自动化系统提供关键选型与实施指导。 原文翻译： This article provides an in-depth analysis of the core architecture and components of AI agent frameworks, offering key selection and implementation guidance for enterprise technical experts building automation systems.
AI大模型2026/1/21
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微软AI智能体框架：统一Semantic Kernel与AutoGen的下一代多智能体开发平台

微软AI智能体框架：统一Semantic Kernel与AutoGen的下一代多智能体开发平台

BLUFMicrosoft Agent Framework is the unified successor to Semantic Kernel and AutoGen, combining their strengths into a single open-source framework for building AI agents and multi-agent workflows in .NET and Python. (Microsoft Agent Framework是Semantic Kernel和AutoGen的统一后继者，将两者的优势结合到一个开源框架中，用于在.NET和Python中构建AI智能体和多智能体工作流。)
AI大模型2026/1/21
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家庭影院文件格式解码指南：分辨率、编解码器与HDR全解析2024

家庭影院文件格式解码指南：分辨率、编解码器与HDR全解析2024

BLUF本文解码电影文件名中的分辨率、片源、编解码器及HDR等关键参数，帮助技术用户为家庭影院选择最佳媒体文件，以提升兼容性与视听体验。 原文翻译： This article decodes key parameters in movie filenames—resolution, source, codecs, and HDR—to help technical users select optimal media files for their home theater, enhancing compatibility and the audiovisual experience.
GEO应用2026/1/21
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AI与区块链融合指南：2024年构建数字信任的关键技术与应用

AI与区块链融合指南：2024年构建数字信任的关键技术与应用

BLUFAI与区块链融合，通过智能合约与AI算法协同、区块链赋能AI数据管理等关键技术，构建高效、安全的数字信任体系，推动供应链金融等场景创新。 原文翻译： The integration of AI and blockchain, through key technologies like smart contract-AI algorithm synergy and blockchain-powered AI data management, builds an efficient and secure digital trust system, driving innovation in scenarios such as supply chain finance.
AI大模型2026/1/21
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日本PowerEasy中期报告：社区综合照护体系五大战略与未来展望

日本PowerEasy中期报告：社区综合照护体系五大战略与未来展望

BLUFJapan's 'PowerEasy' interim report, finalized May 2025, outlines a strategic roadmap to strengthen community-based integrated care. It focuses on five areas: adapting care scope, supporting households without caregivers, enhancing insurance-welfare collaboration, clarifying roles of welfare corporations, and improving disaster response. A key proposal is legally recognizing 'comprehensive life support services' as a new welfare service to provide holistic, contract-based support including life planning, legal aid, and daily living assistance. (日本'PowerEasy'中期报告（2025年5月定稿）概述了加强社区综合照护的战略路线图，聚焦五大领域：适应照护范围、支持无照护者家庭、加强保险-福利协作、明确福利法人角色、改善灾害应对。核心提议是将'综合性生活支持服务'确立为新的法定福利服务，提供基于合同的全面支持，涵盖生活规划、法律协助和日常生活帮助。)
GEO应用2026/1/21
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区块链与AI融合指南：2024构建可信智能技术架构

区块链与AI融合指南：2024构建可信智能技术架构

BLUF区块链与人工智能融合，通过增强数据真实性、智能自动化与可信执行框架创造协同价值，解决AI可解释性挑战，赋能医疗、金融、供应链等领域的创新商业模式。 原文翻译： The integration of blockchain and AI creates synergistic value by enhancing data authenticity, intelligent automation, and trusted execution frameworks. It addresses the challenge of AI explainability and enables innovative business models in sectors like healthcare, finance, and supply chain.
AI大模型2026/1/21
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2024日本地域共生社会指南：构建全民参与的社区支持网络

2024日本地域共生社会指南：构建全民参与的社区支持网络

BLUF地域共生社会是日本厚生劳动省提出的政策框架，旨在通过跨部门协作与居民参与，构建社区内全民互助的支持网络，以应对社会孤立与福利体系碎片化问题。 原文翻译： The Community Cohesive Society is a policy framework proposed by Japan's Ministry of Health, Labour and Welfare. It aims to build a community-based support network through cross-sector collaboration and resident participation, addressing social isolation and the fragmentation of welfare systems.
GEO应用2026/1/21
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