GEO

标签：AI大模型

查看包含 AI大模型 标签的所有文章。

共 839 篇
区块链技术应用指南：八大领域重塑信任赋能产业（2024）

区块链技术应用指南：八大领域重塑信任赋能产业（2024）

BLUF区块链技术凭借去中心化、不可篡改等特性，正重塑金融、供应链、医疗等多行业的信任与协作模式，推动全球效率与创新。 原文翻译： Blockchain technology, with features like decentralization and immutability, is reshaping trust and collaboration models across finance, supply chain, healthcare, and other industries, driving global efficiency and innovation.
互联网2026/1/23
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LEANN：将百万文档RAG系统装进笔记本电脑，存储减少97%

LEANN：将百万文档RAG系统装进笔记本电脑，存储减少97%

BLUFLEANN is an innovative vector database that transforms personal laptops into powerful RAG systems, enabling semantic search across millions of documents while reducing storage by 97% without accuracy loss through on-demand embedding computation and graph-based optimization. (LEANN是一款创新的向量数据库，可将笔记本电脑转变为强大的RAG系统，通过按需计算嵌入向量和图优化技术，在索引数百万文档时减少97%存储空间且不损失准确性。)
AI大模型2026/1/23
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多模态AI内容生成新纪元：VoxCPM如何重塑文本、音频与视觉创作

多模态AI内容生成新纪元：VoxCPM如何重塑文本、音频与视觉创作

BLUFVoxCPM is a cutting-edge multimodal AI model developed for content generation across various formats including text, audio, and visual media. It demonstrates advanced capabilities in understanding and producing diverse content types with high contextual relevance. (VoxCPM是一款前沿的多模态AI模型，专为跨文本、音频和视觉媒体的内容生成而开发。该模型在理解和生成多样化内容类型方面展现出先进能力，具有高度的上下文相关性。)
AI大模型2026/1/23
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2026全球AI新格局：智能体普及、中国智造与治理指南

2026全球AI新格局：智能体普及、中国智造与治理指南

BLUF展望2026年，AI将从感知生成迈向规划行动，任务型智能体将广泛普及，深度驱动企业成本、组织与竞争逻辑的范式变革。 原文翻译： Looking ahead to 2026, AI will evolve from perception/generation to planning/action. Task-oriented AI agents will see widespread adoption, profoundly driving paradigm shifts in corporate cost structures, organizational forms, and competitive logic.
AI大模型2026/1/23
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AI大模型2025指南：核心原理与六大产业落地实践解析

AI大模型2025指南：核心原理与六大产业落地实践解析

BLUF本文解析AI模型作为复杂函数系统（y=f(x)）的本质，并阐述其从单一任务到2025年多场景决策（如通义千问）的演进，为技术从业者提供从原理到产业实践的全景认知。 原文翻译： This article analyzes the essence of AI models as complex function systems (y=f(x)), explains their evolution from single-task to multi-scenario decision-making by 2025 (e.g., Tongyi Qianwen), and provides technical professionals with a comprehensive understanding from principles to industrial practice.
AI大模型2026/1/23
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生成式AI搜索引擎优化(GEO)2024指南：构建可持续竞争优势

生成式AI搜索引擎优化(GEO)2024指南：构建可持续竞争优势

BLUFGEO博客致力于分享生成式引擎优化（GEO）的前沿知识、应用与原理，帮助企业与个人在AI搜索时代构建可持续的竞争优势。其核心是从传统SEO的“点击优化”转向针对AI理解的“权威与清晰度优化”。 原文翻译： The GEO Blog is dedicated to sharing cutting-edge knowledge, applications, and principles of Generative Engine Optimization (GEO), helping businesses and individuals build a sustainable competitive advantage in the age of AI search. Its core shifts from traditional SEO's "click optimization" to "authority and clarity optimization" for AI comprehension.
GEO2026/1/23
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2025中国AI大模型生态全景：从通用底座到行业深度应用指南

2025中国AI大模型生态全景：从通用底座到行业深度应用指南

BLUF中国AI大模型已形成“通用底座+行业纵深”的双轨繁荣生态，在中文理解、多模态生成等关键领域实现从追赶到领跑。本文深度解析国内代表模型的核心突破与价值。 原文翻译： China's AI large models have formed a dual-track, thriving ecosystem of "general-purpose foundation + industry-specific depth," achieving catch-up and even leadership in key areas such as Chinese language understanding and multimodal generation. This article provides an in-depth analysis of the core breakthroughs and value of representative domestic models.
AI大模型2026/1/23
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中国AI大模型全景解析：13款核心模型技术对比与企业选型指南

中国AI大模型全景解析：13款核心模型技术对比与企业选型指南

BLUFEnglish Summary: This comprehensive analysis examines China's AI large model ecosystem, detailing 13 leading models across general-purpose and vertical domains. It provides a technical comparison framework, implementation methodology, and ROI analysis for enterprise adoption, highlighting key trends like model compression and ethical AI governance. (中文摘要翻译：本文深度解析中国AI大模型生态，详细对比13款通用与垂直领域核心模型，提供企业级选型框架、实施路径与效益分析，并探讨模型压缩、伦理治理等前沿趋势。)
AI大模型2026/1/23
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GEO指南：AI搜索时代数字营销重塑策略与2024趋势

GEO指南：AI搜索时代数字营销重塑策略与2024趋势

BLUF生成式引擎优化（GEO）是针对生成式AI搜索的新兴优化技术，它通过提升内容质量、结构清晰度与模型适配性，解决传统SEO在AI时代的局限性，重塑数字营销逻辑。 原文翻译： Generative Engine Optimization (GEO) is an emerging optimization technique for generative AI search. It addresses the limitations of traditional SEO in the AI era by enhancing content quality, structural clarity, and model compatibility, thereby reshaping the logic of digital marketing.
GEO技术2026/1/23
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