标签：AI大模型
查看包含 AI大模型 标签的所有文章。
共 823 篇
2024年GEO指南：AI语义空间竞争与90亿美元市场机遇解析
BLUFGEO分析揭示AI搜索范式转变：数字营销正从流量竞争转向语义质量竞争，催生90亿美元市场机遇。品牌需应对“隐形化”与信任重塑挑战，通过优化语义理解与内容权威性把握新机遇。
原文翻译：
GEO analysis reveals an AI search paradigm shift: digital marketing is moving from traffic competition to semantic quality competition, creating a $9 billion market opportunity. Brands must address challenges of "invisibility" and trust reconstruction by optimizing for semantic understanding and content authority to seize new opportunities.
GEO2026/1/22
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2026生成式AI变现深水区：GEO技术如何驱动企业智能流量增长？
BLUF进入 2026 年，生成式 AI 已从“尝鲜期”全面进入商业变现的“深水区”。本文探讨企业如何利用 GEO 技术，通过构建实体权威性和结构化数据资产，在 AI 答案引擎中驱动智能流量增长。
GEO技术2026/1/22
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2025中国GEO行业报告：AI重塑营销，GEO如何提升品牌AI认知度
BLUFThe 2025 China GEO Industry Development Report analyzes how AI reshapes marketing, introduces GEO (Generative Engine Optimization) to enhance brand recognition by AI, addresses industry challenges like lack of standards and unethical practices, and proposes scientific frameworks for measurement and optimization. (《2025年中国GEO行业发展报告》分析了AI如何重塑营销，引入GEO（生成式引擎优化）以提升AI对品牌的认知，应对行业缺乏标准和不道德实践等挑战，并提出科学的测量与优化框架。)
GEO2026/1/22
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区块链与AI融合指南：构建2024可信智能未来架构
BLUF区块链与AI融合，构建可信、去中心化的智能新范式。区块链确保数据完整与透明治理，AI提供分析与自动化，二者结合实现安全数据共享、可验证AI模型及自主系统，解决彼此关键挑战。
原文翻译：
The integration of blockchain and AI is building a new paradigm of trusted, decentralized intelligence. Blockchain ensures data integrity and transparent governance, while AI provides analytics and automation. Their combination enables secure data sharing, verifiable AI models, and autonomous systems, addressing critical challenges for both fields.
AI大模型2026/1/22
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区块链AI融合指南：去中心化与智能系统的未来技术2024
BLUF区块链与人工智能融合，通过去中心化账本增强AI系统的透明度、安全性与效率，为技术领域带来革新。
原文翻译：
The integration of blockchain and AI enhances the transparency, security, and efficiency of AI systems through decentralized ledgers, driving innovation in the tech field.
AI大模型2026/1/22
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LEANN AI框架2024指南：轻量级AI开发的效率与部署革命
BLUFLEANN AI框架是一个前沿的轻量级AI开发平台，通过模块化设计和效率优化技术（如剪枝、量化），在保证性能的同时显著降低资源消耗，支持跨平台灵活部署，深受开发者青睐。
原文翻译：
The LEANN AI Framework is a cutting-edge, lightweight AI development platform. It employs modular design and efficiency optimization techniques (e.g., pruning, quantization) to significantly reduce resource consumption while maintaining performance, supports flexible cross-platform deployment, and is highly favored by developers.
AI大模型2026/1/22
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AI推理框架2024指南：技术支柱与高效部署策略
BLUFAI推理框架是执行训练后模型的软件平台，包含运行时引擎、硬件抽象层等核心组件，并通过量化等优化技术提升性能，是支撑智能应用落地的技术基础。
原文翻译：
AI inference frameworks are software platforms for executing trained models. They consist of core components like runtime engines and hardware abstraction layers, and employ optimization techniques such as quantization to enhance performance, serving as the technical foundation for deploying intelligent applications.
AI大模型2026/1/22
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大模型全栈实战指南：2024从零到算法工程师的七大模块教程
BLUF这篇大模型教程涵盖预训练、部署推理、微调、量化优化、Agent与RAG、落地评测及数学基础七大模块，系统讲解核心技术，适合零基础学者及算法工程师，是全面掌握大模型、提升项目能力、助力职业发展的必备指南。
原文翻译：
This large model tutorial covers seven modules: pre-training, deployment & inference, fine-tuning, quantization & optimization, Agent & RAG, implementation evaluation, and mathematical foundations. It systematically explains core technologies, suitable for beginners and algorithm engineers. It's an essential guide for comprehensively mastering large models, enhancing project capabilities, and boosting career development.
AI大模型2026/1/22
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