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WebMCP新标准：AI智能体直接调用网站工具2026指南

WebMCP新标准：AI智能体直接调用网站工具2026指南

WebMCP (Web Model Context Protocol) is a new web standard developed by Google and Microsoft that enables websites to expose structured, callable tools directly to AI agents through browser APIs, replacing inefficient screen-scraping and DOM parsing methods with single structured function calls. This significantly reduces costs, improves reliability, and accelerates development for enterprise AI deployments. (WebMCP（Web模型上下文协议）是由谷歌和微软联合开发的新网页标准，允许网站通过浏览器API直接向AI代理暴露结构化、可调用的工具，用单一结构化函数调用取代低效的屏幕截图和DOM解析方法。这显著降低了企业AI部署的成本，提高了可靠性，并加速了开发进程。)
AI大模型2026/2/15
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MiniMax M2.5大模型2026升级指南：更强推理与代码能力详解

MiniMax M2.5大模型2026升级指南：更强推理与代码能力详解

MiniMax M2.5 represents a comprehensive upgrade of the universal large model, featuring enhanced reasoning, broader knowledge, and refined coding capabilities. The company's full-stack model matrix covers text, speech, video, image, and music, empowering developers to efficiently build intelligent applications. (MiniMax M2.5 全面升级的通用大模型，具备更强推理、更广知识和更精代码能力。公司的全栈模型矩阵涵盖文本、语音、视频、图像与音乐五大方向，助力开发者高效构建智能应用。)
AI大模型2026/2/15
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大语言模型推理能力提升指南：2025年最新方法与技术解析

大语言模型推理能力提升指南：2025年最新方法与技术解析

This article provides a comprehensive overview of methods to enhance reasoning capabilities in Large Language Models (LLMs), covering prompt engineering techniques like Chain-of-Thought and Tree-of-Thought, architectural improvements such as RAG and neuro-symbolic hybrids, and emerging approaches like latent space reasoning. It also discusses evaluation benchmarks and challenges in achieving reliable, interpretable reasoning for high-stakes applications. 本文全面综述了提升大语言模型推理能力的方法，涵盖提示工程技术（如思维链、思维树）、架构改进（如检索增强生成、神经符号混合）以及新兴方法（如隐空间推理）。同时探讨了评估基准及在关键应用中实现可靠、可解释推理所面临的挑战。
LLMS2026/2/14
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AI驱动答案助力开发者：2026代码示例与隐私保护指南

AI驱动答案助力开发者：2026代码示例与隐私保护指南

AI-Powered Answers. Instant answers from Claude 4 Sonnet with code examples. Privacy-First. Auto-detect sensitive data with end-to-end encryption. Globally Accessible. No geo-blocking. Accessible from anywhere in the world. (AI驱动答案。通过Claude 4 Sonnet提供即时答案与代码示例。隐私优先。自动检测敏感数据并采用端到端加密。全球可访问。无地域限制，可在世界各地访问。)
AI大模型2026/2/14
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Deep Research开源多跳推理框架2026年完整指南

Deep Research开源多跳推理框架2026年完整指南

Deep Research is an open-source library for conducting deep, multi-hop research with reasoning capabilities, performing focused web searches with recursive exploration to provide comprehensive, evidence-backed answers to complex questions. (Deep Research是一个开源库，具备深度多跳推理能力，通过递归探索执行聚焦网络搜索，为复杂问题提供全面、有证据支持的答案。)
AI大模型2026/2/13
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Instill Core一站式AI平台2026本地部署指南

Instill Core一站式AI平台2026本地部署指南

Instill Core is an end-to-end AI platform that simplifies infrastructure management by providing ETL processing, AI-readiness, open-source LLM hosting, and RAG capabilities in one unified solution. It enables technical professionals to build versatile AI applications locally with minimal setup. (Instill Core是一个端到端的AI平台，通过在一个统一解决方案中提供ETL处理、AI就绪、开源LLM托管和RAG功能，简化了基础设施管理。它使技术专业人员能够以最少的设置本地构建多功能AI应用。)
AI大模型2026/2/13
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Semantic Router高效语义决策层：2026年提升LLM响应速度指南

Semantic Router高效语义决策层：2026年提升LLM响应速度指南

Semantic Router is a high-performance decision layer designed for large language models (LLMs) and agents, enabling routing decisions based on semantic understanding rather than waiting for LLM responses. This approach significantly improves system response speed and reduces API costs. (Semantic Router 是一个专为大型语言模型和Agent设计的高效决策层，通过语义化理解进行路由决策，显著提升响应速度并降低API成本。)
LLMS2026/2/13
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Airweave开源上下文检索层详解：2024年AI代理数据指南

Airweave开源上下文检索层详解：2024年AI代理数据指南

Airweave is an open-source context retrieval layer that connects to various data sources, syncs and indexes data, and provides a unified LLM-friendly search interface for AI agents and RAG systems. (Airweave是一个开源上下文检索层，可连接多种数据源，同步并索引数据，为AI智能体和RAG系统提供统一的LLM友好搜索接口。)
LLMS2026/2/13
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构建类型安全LLM代理的模块化TypeScript库2026指南

构建类型安全LLM代理的模块化TypeScript库2026指南

English Summary: llm-exe is a modular TypeScript library for building type-safe LLM agents and AI functions with full TypeScript support, provider-agnostic architecture, and production-ready features like automatic retries and schema validation. It enables developers to create composable executors, powerful parsers, and autonomous agents while allowing one-line provider switching between OpenAI, Anthropic, Google, xAI, and others. 中文摘要翻译：llm-exe是一个模块化TypeScript库，用于构建类型安全的LLM代理和AI函数，具有完整的TypeScript支持、供应商无关的架构以及生产就绪功能（如自动重试和模式验证）。它使开发人员能够创建可组合的执行器、强大的解析器和自主代理，同时允许在OpenAI、Anthropic、Google、xAI等供应商之间进行单行切换。
LLMS2026/2/13
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