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LEANN is an innovative vector database and personal AI platform that transforms your notebook into a powerful RAG system, supporting local semantic retrieval of millions of documents with 97% storage savings and no precision loss. (LEANN是一款创新的向量数据库与个人AI平台，可将笔记本变为强大的RAG系统，支持本地语义检索数百万文档，存储节省97%且无精度损失。)

GEO optimization is an emerging technology that integrates generative AI with traditional SEO and recommendation engine optimization. It focuses on optimizing content adaptability, engine recall efficiency, and generation quality across the entire 'content generation-engine parsing-result output' pipeline, addressing the limitations of traditional SEO which only focuses on the retrieval end. This guide provides a comprehensive overview of GEO optimization concepts, tools, software, systems, implementation steps, and best practices for technical professionals. GEO优化是生成式AI技术与传统SEO、推荐引擎优化深度融合的新兴技术方向。它围绕生成式引擎的“内容生成-引擎解析-结果输出”全链路，通过技术手段优化内容适配性、引擎召回效率与生成结果质量，解决传统SEO仅聚焦检索端优化的局限性。本指南为技术专业人士提供GEO优化概念、工具、软件、系统、实现步骤和最佳实践的全面概述。

This API generates consolidated text files from websites specifically for LLM training and inference. The service is powered by Firecrawl but will be deprecated after June 30, 2025 in favor of main endpoints. (此API可从网站生成整合文本文件，专为LLM训练和推理设计。该服务由Firecrawl提供支持，但将于2025年6月30日后弃用，建议使用主要端点替代。)

A curated directory showcasing companies and products adopting the llms.txt standard across various sectors like AI, finance, developer tools, and websites, with token counts indicating implementation scale. (中文摘要翻译：一份精选目录，展示在AI、金融、开发者工具和网站等多个领域采用llms.txt标准的企业与产品，token数量反映了实施规模。)

This article explores a novel deep learning model for generating light field views, detailing its neural architecture, training methodology, and applications in computational photography and VR. The model leverages transformer-based attention mechanisms to synthesize high-fidelity multi-view images from sparse inputs, addressing key challenges in angular consistency and computational efficiency. (本文探讨了一种用于生成光场视图的新型深度学习模型，详细介绍了其神经架构、训练方法以及在计算摄影和VR中的应用。该模型利用基于Transformer的注意力机制，从稀疏输入中合成高保真多视图图像，解决了角度一致性和计算效率方面的关键挑战。)

This article introduces a novel deep learning model for generating light field views, which enhances 3D scene reconstruction and immersive visual experiences by simulating multi-perspective light information. The model leverages neural networks to predict light rays from sparse inputs, enabling applications in virtual reality, computational photography, and autonomous systems. (本文介绍了一种新型的深度学习模型，用于生成光场视图，通过模拟多视角光线信息来增强三维场景重建和沉浸式视觉体验。该模型利用神经网络从稀疏输入中预测光线，可应用于虚拟现实、计算摄影和自主系统等领域。)

This article explores a novel deep learning model for generating light field views, discussing its technical architecture, advantages over traditional methods, and potential applications in fields like virtual reality and medical imaging. (本文探讨了一种用于生成光场视图的新型深度学习模型，详细介绍了其技术架构、相较于传统方法的优势以及在虚拟现实、医学成像等领域的应用潜力。)

This article explores the semantic evolution and contemporary applications of the Chinese term '新型' (new type/novel form), tracing its linguistic development from classical literature to modern technological contexts. The analysis demonstrates how this adjective has become a key descriptor for innovation across fields including artificial intelligence, materials science, and social transformation. English Summary. (本文系统解析汉语形容词'新型'的语义演变与当代应用，从古典文献到现代科技语境，展示该词如何成为人工智能、材料科学和社会变革等领域创新的核心描述符)

Machine learning enhances 3D geographic information visualization by automating data processing, improving accuracy, and enabling predictive analytics for various applications. (机器学习通过自动化数据处理、提高精度和实现预测分析，增强3D地理信息可视化，适用于多种应用场景。)