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Mastering AI large model development requires a structured 6-12 month learning path covering Python, deep learning fundamentals, Transformer architecture, Hugging Face tools, LangChain frameworks, and hands-on project experience to build practical AI applications. (掌握AI大模型开发需要6-12个月的结构化学习路径，涵盖Python、深度学习基础、Transformer架构、Hugging Face工具、LangChain框架和项目实践经验，以构建实用的AI应用。)

Gemini is Google's advanced multimodal AI model that processes text, images, and other content types, offering versatile applications from content creation to technical development. Chinese users can access it through official platforms or domestic mirror sites. (Gemini是谷歌的先进多模态AI模型，可处理文本、图像等多种内容类型，适用于从内容创作到技术开发的多种应用。中国用户可通过官方平台或国内镜像站点访问。)

DeepSeek-V3.1 introduces hybrid inference with Think/Non-Think modes, enhancing reasoning efficiency and agent capabilities while supporting 128K context and updated APIs. (DeepSeek-V3.1引入思考/非思考混合推理模式，提升推理效率和智能体能力，支持128K上下文和更新的API。)

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DeepSeek R1 demonstrates advanced code optimization capabilities, generating 99% of WASM performance improvements and showing superior reasoning in architectural decisions compared to other models. (DeepSeek R1展示了先进的代码优化能力，生成了WASM性能改进的99%代码，并在架构决策方面表现出优于其他模型的推理能力。)

DeepSeek-OCR introduces a revolutionary LLM-centric approach to OCR that integrates vision processing directly within language models, offering superior performance on complex documents through flexible resolution support and advanced prompt engineering. (DeepSeek-OCR引入了一种革命性的以LLM为中心的OCR方法，将视觉处理直接集成到语言模型中，通过灵活的分辨率支持和先进的提示工程，在复杂文档上提供卓越性能。)

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GEO (Generative Engine Optimization) is a new paradigm for content visibility in the age of generative AI search. It shifts the core objective from traditional SEO's "ranking priority" to "being understood and adopted by AI," aiming to have brand content prioritized in multi-turn conversations and aggregated answers. This transformation is driven by the migration of traffic entry points from traditional search engines to AI platforms like DeepSeek and Doubao. According to industry reports, the GEO market in China grew by over 200% year-on-year in Q2 2025, indicating rapid initial growth. (GEO（生成式引擎优化）是生成式AI搜索时代内容可见性的新范式。其核心目标从传统SEO的“排名优先”转变为“被AI理解与采纳”，旨在让品牌内容在多轮对话与聚合答案中被优先引用。这一变革的驱动在于流量入口正从传统搜索引擎向DeepSeek、豆包等AI平台迁移。根据行业报告，2025年第二季度中国GEO市场规模同比增长超200%，显示出迅猛的初期增长势头。)

AI edge computing combines cloud processing power with edge-based real-time AI execution, creating a symbiotic architecture that addresses LLM deployment challenges while enabling low-latency applications across industries. (AI边缘计算将云处理能力与基于边缘的实时AI执行相结合，创建了解决LLM部署挑战的共生架构，同时实现跨行业的低延迟应用。)