搜索结果：人工智能

The llms.txt file is a standardized document that helps AI systems understand website content and structure, similar to robots.txt but optimized for large language models and AI-driven search engines. It's a critical component of Generative Engine Optimization (GEO) that improves website visibility in AI search results. 原文翻译： llms.txt文件是一种标准化文档，帮助AI系统理解网站内容和结构，类似于robots.txt但针对大型语言模型和AI驱动搜索引擎进行了优化。它是生成引擎优化（GEO）的关键组成部分，可提高网站在AI搜索结果中的可见性。

DeepSeek, a Chinese AI company, is disrupting the global AI industry with its low-cost, open-source large language models, challenging U.S. tech giants through innovative training methods and significantly lower development costs while raising geopolitical concerns and facing international bans due to data privacy issues. 原文翻译： DeepSeek是一家中国AI公司，通过其低成本、开源的大型语言模型正在颠覆全球AI行业，挑战美国科技巨头。该公司采用创新的训练方法，显著降低了开发成本，同时引发了地缘政治担忧，并因数据隐私问题面临国际禁令。

GEO (Generative Engine Optimization) is the evolution of SEO for the AI era, focusing on building digital trust to ensure AI systems prioritize and recommend your content when generating answers. 原文翻译： GEO（生成式引擎优化）是SEO在AI时代的演进，其核心在于构建数字信任，确保AI系统在生成答案时优先引用并推荐您的内容。

DeepSeek V4 预览版于2026年4月发布，提供Pro（1.6T参数）和Flash（284B参数）两个版本，均支持1M tokens上下文和领先的Agent能力。其核心Agent能力包括Function Calling（支持并行/嵌套工具调用）、长上下文记忆、思考模式（推理增强）、结构化输出、多模态理解及主流Agent框架适配。API兼容OpenAI接口，支持流式/非流式调用。典型应用覆盖

This paper introduces Generative Engine Optimization (GEO), a black-box optimization framework to help content creators improve their visibility in generative engine responses. It proposes GEO-bench f

WeChat has begun testing an AI-powered search feature integrating the DeepSeek-R1 model, offering a more diverse and intelligent search experience. The feature is currently in limited testing, pulling

This paper provides a comprehensive introduction to knowledge graphs, covering data models, query languages, knowledge representation techniques, creation methods, and applications across both open and enterprise contexts. 原文翻译： 本文全面介绍了知识图谱，涵盖数据模型、查询语言、知识表示技术、创建方法以及在开放和企业环境中的应用。

This article provides a comprehensive guide on DeepSeek SEO and AI GEO optimization, covering 16 steps for AI reasoning optimization, 15 steps for GEO optimization, prompt types, and keyword strategie

This article provides a comprehensive 2026 guide for Chinese users to access and utilize Google's Gemini models, particularly Gemini 3 Pro, overcoming regional access barriers through platforms like n.myliang.cn. It covers practical applications in multimodal tasks, AI-assisted office work, programming, and SEO optimization. 原文翻译： 本文为国内用户提供了一份全面的2026年指南，介绍如何通过n.myliang.cn等平台访问和使用谷歌Gemini模型（特别是Gemini 3 Pro），以克服地域访问限制。内容涵盖多模态任务、AI辅助办公、编程和SEO优化等实际应用。

This article analyzes the Rejection sampling Fine-Tuning (RFT) method for enhancing large language models' mathematical reasoning. It details a process where smaller models generate diverse reasoning paths, which are filtered for quality and diversity, then used to fine-tune a larger model (e.g., Llama2-70B). Key findings show RFT significantly improves accuracy over standard Supervised Fine-Tuning (SFT), especially for weaker models, by increasing the variety of unique reasoning paths in the training data. 原文翻译： 本文分析了用于增强大语言模型数学推理能力的拒绝采样微调（RFT）方法。它详细阐述了一个流程：使用小模型生成多样化的推理路径，经过质量和多样性筛选后，用于微调更大的模型（如Llama2-70B）。核心发现表明，通过增加训练数据中独特推理路径的多样性，RFT相比标准监督微调（SFT）能显著提升模型准确率，对于性能较弱的模型提升尤为明显。