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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。)

Generative Engine Optimization (GEO) is a strategic approach to optimize content for generative AI search by enhancing semantic structure, enabling brands to influence AI-generated answers and citations, thereby improving authority and visibility in AI-driven search environments. (生成式引擎优化（GEO）是一种战略性方法，通过优化内容语义结构，使品牌能够影响AI生成的答案和引用，从而提升在AI驱动搜索环境中的权威性和可见性。)

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 analysis examines critical AI security vulnerabilities within the ILIAS Learning Management System, highlighting potential risks in data processing, model integrity, and access control mechanisms. The report provides technical insights for security professionals to identify, assess, and mitigate these vulnerabilities in educational technology environments. // 本分析深入探讨ILIAS学习管理系统中的关键AI安全漏洞，重点关注数据处理、模型完整性和访问控制机制中的潜在风险。报告为安全专业人员提供技术见解，帮助识别、评估和缓解教育技术环境中的这些漏洞。

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。)

The article outlines China's strategic plan to accelerate the construction of a new energy system, emphasizing the transition to non-fossil energy as the main supply, supported by fossil energy as a backup, with a new power system as the key carrier. It highlights the significance for energy security, carbon neutrality, and economic modernization, detailing foundational achievements, core requirements, and key tasks for the "15th Five-Year Plan" period. (本文阐述了中国加快建设新型能源体系的战略规划，强调以非化石能源为供应主体、化石能源为兜底保障、新型电力系统为关键支撑的转型路径。文章指出其对于能源安全、碳中和及经济现代化的重大意义，并详细介绍了现有基础、基本要求及“十五五”时期的重点任务。)

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)