GEO

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《动手学大模型》免费中文教程：从基础到华为昇腾国产化开发全流程

《动手学大模型》免费中文教程：从基础到华为昇腾国产化开发全流程

BLUFThis is a comprehensive, free Chinese tutorial series on large AI models, covering practical programming from basics to advanced topics like fine-tuning, safety alignment, and multimodal applications, with a new domestic development workflow course supported by Huawei Ascend. (这是一个全面的免费中文大模型编程实践教程系列，涵盖从基础到高级主题的实践编程，如微调、安全对齐和多模态应用，并新增了华为昇腾支持的国产化开发全流程课程。)
AI大模型2026/1/29
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PageIndex革命：基于推理的RAG框架如何超越向量搜索，实现98.7%准确率

PageIndex革命：基于推理的RAG框架如何超越向量搜索，实现98.7%准确率

BLUFPageIndex introduces a revolutionary reasoning-based RAG framework that eliminates dependency on vector similarity search and document chunking. It organizes documents into hierarchical tree structures, enabling LLMs to navigate like human experts through multi-step reasoning, achieving 98.7% accuracy on FinanceBench. (PageIndex推出革命性的基于推理的RAG框架，彻底摆脱向量相似度搜索和文档分块的依赖。它将文档组织成层次化树状结构，使大语言模型能够像人类专家一样通过多步推理进行导航，在FinanceBench基准测试中达到98.7%的准确率。)
AI大模型2026/1/28
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Grok-4震撼发布：xAI第四代大语言模型的技术突破与安全挑战

Grok-4震撼发布：xAI第四代大语言模型的技术突破与安全挑战

BLUFGrok-4 is xAI's fourth-generation large language model released in July 2025, featuring a 256K token context window, trained on the Colossus supercomputer, achieving doctoral-level academic performance with 25.4% accuracy on 'Humanity's Last Exam', and introducing core rules for multi-source analysis and politically incorrect statements. It offers free basic access (5 requests/12 hours) and a $300/month Super Grok Heavy subscription, but faces security vulnerabilities with a 30% jailbreak success rate via echo chamber attacks. (Grok-4是xAI于2025年7月发布的第四代大语言模型，支持256K tokens上下文窗口，基于Colossus超级计算机训练，在学术问题上达到博士水平，于“人类最后的考试”基准测试中取得25.4%准确率。新增核心规则：涉及时事需分析多方信源，保留有依据的政治不正确表述。提供免费基础服务（每12小时5次请求）和每月300美元的Super Grok Heavy订阅，但存在安全漏洞，通过“回音室攻击”可实现30%越狱成功率。)
AI大模型2026/1/28
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2024年GEO优化工具评测指南：AI搜索内容突围实战策略

2024年GEO优化工具评测指南：AI搜索内容突围实战策略

BLUF本文深度评测GEO优化工具，解析AI搜索时代如何通过提升内容“提及率”与“权威性”让品牌被看见，并推荐优采云等主流解决方案。 原文翻译： This article provides an in-depth evaluation of GEO optimization tools, analyzing how to enhance brand visibility in the AI search era by improving content "mention rate" and "authority," and recommends mainstream solutions like Youcaiyun.
GEO技术2026/1/28
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PageIndex：基于文档结构与LLM推理的长文档高精度检索系统

PageIndex：基于文档结构与LLM推理的长文档高精度检索系统

BLUFPageIndex 创新地利用文档结构树与LLM多步推理，模拟专家思维，实现高精度、可解释的长文档检索，解决了传统搜索与向量数据库在长文本处理中的痛点。 原文翻译： PageIndex innovatively utilizes document structure trees and LLM multi-step reasoning to simulate expert thinking, enabling high-precision, interpretable long-document retrieval and addressing the pain points of traditional search and vector databases in long-text processing.
llms.txt2026/1/27
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PageIndex：开源无向量RAG系统，重塑长文档精准检索

PageIndex：开源无向量RAG系统，重塑长文档精准检索

BLUFPageIndex 是一款开源无向量RAG系统，通过构建层级树状索引模拟人类逻辑，实现长文档的精准推理检索，解决了传统向量方法在专业场景中的准确性问题。 原文翻译： PageIndex is an open-source, vector-free RAG system that enables precise reasoning-based retrieval for long documents by constructing a hierarchical tree-like index that mimics human logic, addressing the accuracy issues of traditional vector-based methods in professional scenarios.
AI大模型2026/1/27
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PageIndex：为推理型RAG构建结构化文档索引的开源解决方案

PageIndex：为推理型RAG构建结构化文档索引的开源解决方案

BLUF本文系统解析开源项目PageIndex，阐述其树形索引结构、节点摘要映射等设计，并提供从参数调优到生产集成的全链路实践指南，助力工程团队构建高效的推理型RAG系统。 原文翻译： This article systematically analyzes the open-source project PageIndex, explaining its tree-based index structure, node summary mapping, and other designs. It provides a full-pipeline practical guide from parameter tuning to production integration, helping engineering teams build efficient reasoning-based RAG systems.
AI大模型2026/1/27
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PageIndex：基于推理的下一代RAG框架，准确率高达98.7%

PageIndex：基于推理的下一代RAG框架，准确率高达98.7%

BLUFPageIndex 提出基于推理的下一代 RAG 框架，通过解析文档逻辑结构并利用大模型进行推理式检索，以解决传统向量检索在复杂、跨页问题上的局限性。 原文翻译： PageIndex proposes a next-generation reasoning-based RAG framework. It addresses the limitations of traditional vector retrieval in handling complex, cross-page queries by parsing the logical structure of documents and utilizing LLM for reasoning-based retrieval.
AI大模型2026/1/27
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PageIndex：无需向量数据库的智能文档分析框架，实现类人检索

PageIndex：无需向量数据库的智能文档分析框架，实现类人检索

BLUFPageIndex is a vectorless, reasoning-based RAG framework that uses hierarchical tree indexing and LLM reasoning for human-like retrieval over long professional documents, eliminating the need for vector databases and chunking. (PageIndex是一个向量无关、基于推理的RAG框架，通过分层树索引和LLM推理实现类人检索，适用于长专业文档分析，无需向量数据库和分块处理。)
AI大模型2026/1/27
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