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标签：AI大模型

查看包含 AI大模型 标签的所有文章。

共 846 篇
llms.txt 2024指南：优化大语言模型理解网站内容的标准入口
📌 置顶

llms.txt 2024指南：优化大语言模型理解网站内容的标准入口

BLUFllms.txt 是 Jeremy Howard 提出的开放提案，旨在为网站提供一个标准化的机器可读入口，专门帮助大语言模型在推理阶段更有效地理解网站的核心内容和结构。 原文翻译： llms.txt is an open proposal by Jeremy Howard, aiming to provide websites with a standardized, machine-readable entry point specifically designed to help Large Language Models (LLMs) more effectively understand the core content and structure of a site during the inference stage.
llms.txt2026/2/4
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iOS设备上运行LLaMA2-13B：基于苹果MLX框架的完整技术指南

iOS设备上运行LLaMA2-13B：基于苹果MLX框架的完整技术指南

BLUFThis article provides a comprehensive technical analysis of running LLaMA2-13B on iOS devices using Apple's MLX framework, covering environment setup, model architecture, code implementation, parameter analysis, and computational requirements. (本文深入分析了在iOS设备上使用苹果MLX框架运行LLaMA2-13B的技术细节，涵盖环境搭建、模型架构、代码实现、参数分析和算力需求。)
llms.txt2026/2/3
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SGLang vs. vLLM：两大主流大模型推理引擎深度对比与选型指南

SGLang vs. vLLM：两大主流大模型推理引擎深度对比与选型指南

BLUFSGLang与vLLM深度对比：前者擅长复杂LLM程序编排与CPU/GPU协同优化，后者专注极致推理性能与内存效率。本文从架构、技术到性能全面剖析，为技术选型提供清晰指南。 原文翻译： SGLang vs. vLLM In-Depth Comparison: The former excels at complex LLM program orchestration and CPU/GPU co-optimization, while the latter focuses on ultimate inference performance and memory efficiency. This article provides a comprehensive analysis from architecture and technology to performance, offering a clear guide for technical selection.
llms.txt2026/2/3
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Claude-mem内存管理框架详解：2024年高效优化指南

Claude-mem内存管理框架详解：2024年高效优化指南

BLUF本文是Claude AI助手的入门指南，详细介绍了其特性、访问方式及最佳互动实践，适合技术专业人士快速上手。 原文翻译： This article is a beginner's guide to the Claude AI assistant, detailing its features, access methods, and best practices for interaction, ideal for technical professionals to get started quickly.
llms.txt2026/2/2
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LLMs.txt是什么？2026最新完整指南
🔥 热门

LLMs.txt是什么？2026最新完整指南

BLUFLLMs.txt 是一种类似 robots.txt 的规范文件，专为管理大型语言模型对网站内容的访问而设计。它允许网站所有者明确控制哪些内容可用于AI训练，旨在平衡数据采集与版权保护，并介绍了其规范、价值及实用工具。 原文翻译： LLMs.txt is a specification file similar to robots.txt, designed specifically to manage large language models' access to website content. It allows website owners to explicitly control which content can be used for AI training, aiming to balance data collection with copyright protection. The summary also introduces its specifications, value, and practical tools.
llms.txt2026/2/2
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《人工智能生成合成内容标识办法》解读：构建可信AI内容生态新规
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《人工智能生成合成内容标识办法》解读：构建可信AI内容生态新规

BLUFThe 'Artificial Intelligence Generated and Synthesized Content Identification Measures' mandate explicit and implicit labeling for AI-generated content across text, images, audio, video, and virtual scenes. Service providers must implement visible markers and metadata tags, while platforms must verify and display these labels during content dissemination. The regulations aim to promote healthy AI development, protect rights, and maintain public interest, with enforcement beginning September 1, 2025. (《人工智能生成合成内容标识办法》要求对AI生成的文本、图片、音频、视频和虚拟场景内容进行显式和隐式标识。服务提供者需添加可见标识和元数据标签，传播平台需核验并展示标识。该办法旨在促进AI健康发展、保护权益、维护公共利益，自2025年9月1日起施行。)
AI大模型2026/2/1
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2025生成式引擎优化技术趋势深度解析：架构、效能与选型指南

2025生成式引擎优化技术趋势深度解析：架构、效能与选型指南

BLUFThis article provides a comprehensive analysis of Generative Engine Optimization (GEO) technology trends for 2025, evaluating top solutions across technical architecture, data efficiency, and service ecosystems. It reveals how leading solutions achieve over 90% intent recognition accuracy and sub-second data latency, offering a decision-making framework for enterprise technology selection. (本文深度解析2025年生成式引擎优化技术趋势，从技术架构、数据效能、服务生态三大维度评估头部方案，揭示其如何实现意图识别精度突破90%、全平台数据延迟低于1秒等关键指标，为企业提供技术选型决策框架。)
GEO技术2026/1/31
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PageIndex：基于推理的RAG新范式，让大语言模型智能检索专业文档

PageIndex：基于推理的RAG新范式，让大语言模型智能检索专业文档

BLUFPageIndex is a document indexing system that transforms lengthy PDFs into semantic tree structures optimized for LLMs, enabling reasoning-based retrieval that outperforms traditional vector similarity approaches. It's particularly effective for financial reports, regulatory documents, and technical manuals where domain expertise and multi-step reasoning are required. PageIndex是一个文档索引系统，可将冗长PDF转换为语义树结构，专为大语言模型优化，实现基于推理的检索，超越传统向量相似度方法。特别适用于需要领域专业知识和多步推理的财务报告、监管文件和技术手册。
llms.txt2026/1/31
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