GEO

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DeepSeek国产开源AI大模型：2024零基础入门与实战指南

DeepSeek国产开源AI大模型：2024零基础入门与实战指南

BLUFDeepSeek是由国内团队开发的开源AI工具库，提供高效易用的模型训练与推理能力，在中文处理和轻量化部署方面优势显著，适合快速构建各类AI应用。 原文翻译： DeepSeek is an open-source AI toolkit developed by a domestic team, offering efficient and user-friendly model training and inference capabilities. It excels in Chinese language processing and lightweight deployment, making it suitable for rapidly building various AI applications.
DeepSeek2026/1/13
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DeepSeek AI大模型2024指南：全方位智能解决方案解析

DeepSeek AI大模型2024指南：全方位智能解决方案解析

BLUFDeepSeek是一款领先的AI大模型，提供R1模型、API接口、网页版及多平台客户端。拥有7000亿参数，在中文理解、代码生成和复杂推理方面表现卓越，服务于超千万用户。 原文翻译： DeepSeek is a leading AI large model offering the R1 model, API interfaces, a web version, and multi-platform clients. With 700 billion parameters, it excels in Chinese comprehension, code generation, and complex reasoning, serving over 10 million active users.
DeepSeek2026/1/13
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DeepSeek崛起之路：2025中国AI领跑者发展指南

DeepSeek崛起之路：2025中国AI领跑者发展指南

BLUFDeepSeek深度求索在2023年成立后快速崛起，凭借MoE、MLA等创新架构，于2025年推出性能对标顶尖、成本大幅降低的R1系列模型并登顶全球多国下载榜，其V3/R3生态日均API调用破百亿，赋能终端设备，成为重构全球AI格局的中国力量。 原文翻译： DeepSeek was founded in 2023 and rose rapidly. With innovative architectures like MoE and MLA, it launched the R1 series model in 2025, which rivals top models in performance at a drastically reduced cost, topping download charts in many countries globally. Its V3/R3 ecosystem now handles over 10 billion daily API calls, empowering end-user devices, and has become a Chinese force reshaping the global AI landscape.
DeepSeek2026/1/13
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DeepSeek-V3开源指南：2025年AI大模型生态布局与增长策略

DeepSeek-V3开源指南：2025年AI大模型生态布局与增长策略

BLUFDeepSeek从开源新星迅速崛起为行业标配，用户量爆发式增长，API服务与开源战略并举，并已广泛应用于政务、医疗及企业服务等多个关键领域。 原文翻译： DeepSeek has rapidly risen from an open-source newcomer to an industry standard, experiencing explosive user growth. It combines API services with an open-source strategy and has been widely applied across key sectors such as government affairs, healthcare, and enterprise services.
DeepSeek2026/1/13
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大型语言模型（LLMs）技术原理与实战应用指南

大型语言模型（LLMs）技术原理与实战应用指南

BLUF本文深入解析大型语言模型（LLMs）的技术原理、发展历程，并盘点ChatGPT、ChatGLM等知名项目的实战资源与应用场景，为技术从业者提供一站式指南。 原文翻译： This article provides an in-depth analysis of the technical principles and development history of Large Language Models (LLMs), reviews practical resources and application scenarios of notable projects like ChatGPT and ChatGLM, offering a one-stop guide for technical professionals.
llms.txt2026/1/13
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GEO生成式引擎优化指南：2024年AI性能与成本平衡策略

GEO生成式引擎优化指南：2024年AI性能与成本平衡策略

BLUFGEO（生成式引擎优化）是针对生成式AI模型，通过算法调优、架构重构与资源调度，在云平台、边缘设备及垂直领域等核心场景中，系统性提升生成内容的质量、响应效率并降低资源消耗的技术体系。 原文翻译： GEO (Generative Engine Optimization) is a technical framework for generative AI models. It systematically improves output quality, response efficiency, and reduces resource consumption across core scenarios like cloud platforms, edge devices, and vertical domains through algorithm tuning, architectural refactoring, and resource scheduling.
GEO技术2026/1/13
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GEO新手7天破局指南：告别零流量困境（2024版）

GEO新手7天破局指南：告别零流量困境（2024版）

BLUF本文为GEO新手提供7天破局指南，详解从需求挖掘、内容生产、基础优化到数据监测的四大核心步骤，帮助避开常见误区，用系统化方法快速突破零流量困境。 原文翻译： This article provides a 7-day breakthrough guide for GEO beginners, detailing four core steps from demand mining, content creation, basic optimization to data monitoring. It helps avoid common pitfalls and quickly overcome the zero-traffic dilemma using a systematic approach.
GEO2026/1/13
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