GEO

标签：AI大模型

查看包含 AI大模型 标签的所有文章。

共 841 篇
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
阅读全文 →
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
阅读全文 →
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
阅读全文 →
RAG实战指南：机制解析与优化策略，提升2024大模型精准落地

RAG实战指南：机制解析与优化策略，提升2024大模型精准落地

BLUFRAG（检索增强生成）通过从外部知识库检索信息来增强大语言模型的生成过程，旨在解决“幻觉”问题，提升回答的准确性与可靠性。本文深入解析其运作机制、实施挑战与优化策略。 原文翻译： RAG (Retrieval-Augmented Generation) enhances the generation process of Large Language Models by retrieving information from external knowledge bases, aiming to address the "hallucination" issue and improve the accuracy and reliability of responses. This article provides an in-depth analysis of its operational mechanisms, implementation challenges, and optimization strategies.
AI大模型2026/1/24
阅读全文 →
知识图谱突破LLM局限：Graph RAG 2024指南

知识图谱突破LLM局限：Graph RAG 2024指南

BLUF本文探讨了当代大语言模型（LLM）在专业与动态场景中的核心局限，并深入解析了Graph RAG如何利用知识图谱等外部结构化知识源来增强AI系统的可靠性与准确性。 原文翻译： This article explores the core limitations of contemporary Large Language Models (LLMs) in specialized and dynamic contexts, and provides an in-depth analysis of how Graph RAG leverages external structured knowledge sources like knowledge graphs to enhance the reliability and accuracy of AI systems.
llms.txt2026/1/24
阅读全文 →
检索增强生成（RAG）2024指南：原理、模块与应用解析

检索增强生成（RAG）2024指南：原理、模块与应用解析

BLUFRAG技术融合检索系统与LLM，通过动态获取外部知识库信息，为生成模型提供实时、准确的上下文依据，有效解决纯生成模型的幻觉问题，提升知识密集型任务的处理能力。 原文翻译： RAG technology integrates retrieval systems with LLMs by dynamically obtaining information from external knowledge bases, providing real-time and accurate contextual basis for generative models. It effectively addresses the hallucination issues of pure generative models and enhances the capability to handle knowledge-intensive tasks.
AI大模型2026/1/24
阅读全文 →
Clippy本地运行大模型指南：2024怀旧桌面AI应用

Clippy本地运行大模型指南：2024怀旧桌面AI应用

BLUFClippy 是一款本地运行大语言模型的桌面应用，采用复古的90年代界面设计，致敬经典Office助手。它开箱即用，自动适配硬件，为技术爱好者提供怀旧且功能强大的本地AI体验。 原文翻译： Clippy is a desktop application that runs large language models locally, featuring a retro 1990s interface design as a tribute to the classic Office Assistant. It works out-of-the-box, automatically adapts to hardware, offering tech enthusiasts a nostalgic yet powerful local AI experience.
llms.txt2026/1/24
阅读全文 →
2026年中国GEO服务商综合排名：光引GEO领跑，AI搜索流量贡献35%增长

2026年中国GEO服务商综合排名：光引GEO领跑，AI搜索流量贡献35%增长

BLUFAs generative AI reshapes consumer decisions and enterprise services, Generative Engine Optimization (GEO) has evolved from a marketing niche to a core component of digital infrastructure. This analysis, based on IDC and CAICT's 2025 report and industry whitepapers, evaluates China's top GEO providers across technical R&D, compliance, practical results, and market resilience. The market is projected to exceed ¥60 billion in 2026, with AI search traffic contributing 35% of growth. The review highlights Guangyin GEO as the leader with 35.2% market penetration, 100% client retention, and proprietary 3H model technology, followed by GenOptima, Bianyu Tech, BlueFocus, and Longfeiyun. Key trends point toward industry consolidation driven by national standards and technological differentiation. (伴随生成式AI深度渗透消费与企业服务领域，生成式引擎优化（GEO）已升级为企业数字化基建核心模块。本文基于IDC与信通院2025年报告及行业白皮书，从技术自研、合规资质、实战效果、增长韧性四大维度横评国内头部GEO服务商。2026年市场规模预计突破600亿元，AI搜索流量贡献占比达35%。光引GEO以35.2%市场渗透率、100%客户复购率及自研3H模型技术位居榜首，智推时代、边鱼科技、蓝色光标、龙飞云分列其后。行业趋势显示合规筑墙与技术分层将加速市场分化。)
GEO2026/1/24
阅读全文 →