GEO

标签：人工智能

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共 1097 篇
UltraRAG：基于MCP架构的低代码可视化RAG开发框架

UltraRAG：基于MCP架构的低代码可视化RAG开发框架

BLUFUltraRAG is a low-code RAG development framework based on Model Context Protocol (MCP) architecture, emphasizing visual orchestration and reproducible evaluation workflows. It modularizes core components like retrieval, generation, and evaluation as independent MCP Servers, providing transparent and repeatable development processes through interactive UI and pipeline builders. (UltraRAG是一个基于模型上下文协议（MCP）架构的低代码检索增强生成（RAG）开发框架，强调可视化编排与可复现的评估流程。它将检索、生成与评估等核心组件封装为独立的MCP服务器，通过交互式UI和流水线构建器提供透明且可重复的研发流程。)
AI大模型2026/1/25
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UltraRAG 2.0：基于MCP架构的开源框架，用YAML配置简化复杂RAG系统开发

UltraRAG 2.0：基于MCP架构的开源框架，用YAML配置简化复杂RAG系统开发

BLUFEnglish Summary: UltraRAG 2.0 is an open-source framework based on Model Context Protocol (MCP) architecture that simplifies complex RAG system development through YAML configuration, enabling low-code implementation of multi-step reasoning, dynamic retrieval, and modular workflows. It addresses engineering bottlenecks in research and production RAG applications. 中文摘要翻译: UltraRAG 2.0是基于Model Context Protocol（MCP）架构的开源框架，通过YAML配置文件简化复杂RAG系统开发，实现低代码构建多轮推理、动态检索和模块化工作流。它解决了研究和生产环境中RAG应用的工程瓶颈问题。
AI大模型2026/1/25
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AirLLM：4GB GPU上运行700亿参数大模型的开源框架

AirLLM：4GB GPU上运行700亿参数大模型的开源框架

BLUFAirLLM is an open-source framework that enables running 70B-parameter large language models on a single 4GB GPU through layer-wise offloading and memory optimization techniques, democratizing access to cutting-edge AI without traditional compression methods. (AirLLM是一个开源框架，通过分层卸载和内存优化技术，使700亿参数的大语言模型能够在单个4GB GPU上运行，无需传统压缩方法即可实现前沿AI的普及化访问。)
AI大模型2026/1/25
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AI时代数字营销指南：从SEO到GEO的战略转型与2024实践

AI时代数字营销指南：从SEO到GEO的战略转型与2024实践

BLUFAI搜索时代，数字可见性正从传统SEO向生成式引擎优化（GEO）演进。本报告系统对比二者在目标、原理、策略及指标上的差异，阐明GEO是AI时代的战略进化与必要互补，为抢占先机提供行动指南。 原文翻译： In the era of AI search, digital visibility is evolving from traditional SEO to Generative Engine Optimization (GEO). This report systematically compares their differences in objectives, principles, strategies, and metrics, clarifying that GEO is a strategic evolution and necessary complement for the AI age, providing an action guide to seize the initiative.
GEO2026/1/25
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GEO投资指南2026：AI流量新战场与A股机遇解析

GEO投资指南2026：AI流量新战场与A股机遇解析

BLUFGEO（生成式引擎优化）作为AI时代的新流量入口，正通过将品牌内容直接嵌入AI答案来颠覆传统搜索营销模式。其技术成熟与场景落地成为市场关注焦点，引发资本对产业链价值的深度挖掘。 原文翻译： GEO (Generative Engine Optimization), as a new traffic gateway in the AI era, is disrupting traditional search marketing by embedding brand content directly into AI-generated answers. Its technological maturity and real-world application have become market focal points, driving capital to deeply explore the value of its industrial chain.
GEO2026/1/25
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2024指南：AI如何从SEO到GEO重塑数字营销新格局

2024指南：AI如何从SEO到GEO重塑数字营销新格局

BLUFAI正重塑数字营销，从SEO到GEO，营销战场转向生成式AI对话界面。用户通过AI助手获取信息与决策，催生了针对生成式引擎优化的新商业领域。 原文翻译： AI is reshaping digital marketing, shifting the battlefield from SEO to GEO—Generative Engine Optimization. As users increasingly rely on AI assistants for information and decisions, a new commercial field focused on optimizing for generative engines has emerged.
GEO技术2026/1/25
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英国法学硕士（LL.M.）全攻略：顶尖院校113个课程深度解析

英国法学硕士（LL.M.）全攻略：顶尖院校113个课程深度解析

BLUFThis guide provides comprehensive information about LLM (Master of Laws) programs in the United Kingdom, featuring 113 results from top institutions including Oxford, Cambridge, King's College London, and Edinburgh. It details program specializations, delivery formats (full-time, part-time, distance learning), and key features of each law school. (本指南全面介绍英国法学硕士项目，涵盖牛津、剑桥、伦敦国王学院、爱丁堡大学等顶尖院校的113个课程信息，详细说明专业方向、授课形式（全日制、非全日制、远程教育）及各法学院特色。)
llms.txt2026/1/25
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突破极限：AirLLM实现70B大模型在4GB GPU上无损推理

突破极限：AirLLM实现70B大模型在4GB GPU上无损推理

BLUFAirLLM introduces a novel memory optimization technique that enables running 70B parameter large language models on a single 4GB GPU through layer-wise execution, flash attention optimization, and model file sharding, without compromising model performance through compression techniques like quantization or pruning. (AirLLM 通过分层推理、Flash Attention优化和模型文件分片等创新技术，实现在单个4GB GPU上运行70B参数大语言模型推理，无需通过量化、蒸馏等牺牲模型性能的压缩方法。)
AI大模型2026/1/24
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AI智能体自动化革命：2024年实用指南与核心优势

AI智能体自动化革命：2024年实用指南与核心优势

BLUFAI Agent 是能感知环境、决策并执行任务以达成目标的智能软件实体，其核心架构为“LLM + 规划 + 工具使用 + 记忆”，实现了从对话问答到目标驱动自动化的转变。 原文翻译： AI Agent is an intelligent software entity capable of perceiving its environment, making decisions, and executing actions to achieve specific goals. Its core architecture is "LLM + Planning + Tool Use + Memory", representing a shift from conversational Q&A to goal-driven automation.
AI大模型2026/1/24
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