搜索结果：AI大模型

RAG-Anything is an open-source framework developed by HKU researchers that enables unified multimodal retrieval-augmented generation, allowing AI systems to understand and retrieve knowledge from text

RAG投毒是一种针对检索增强生成系统的攻击方式，攻击者通过向知识库注入伪造文档，使大语言模型将虚假信息作为权威事实输出。攻击成功需满足两个关键条件：伪造文档在语义上与目标查询高度相似，且能超越真实文档被优先检索。实验表明，仅需三份精心设计的伪造文档即可在本地环境中成功实施攻击，导致系统输出完全错误的财务信息。这种攻击具有持久性、隐蔽性和低门槛的特点，而嵌入异常检测被证明是最有效的防御策略。

DeepGEMM is an open-source high-performance tensor core kernel library from DeepSeek, focusing on optimizing GEMM operations for large language models with efficient FP8 precision and fine-grained sca

Retrieval-Augmented Generation (RAG) is an AI framework that enhances Large Language Models (LLMs) by integrating real-time information retrieval from external knowledge bases, addressing limitations

Open Deep Research is an open-source implementation of OpenAI's Deep Research experiment that uses Firecrawl for web search/extraction with reasoning models for structured data analysis. 原文翻译： Open Deep Research 是 OpenAI Deep Research 实验的开源实现，使用 Firecrawl 进行网络搜索/提取，并结合推理模型进行结构化数据分析。

DeepSeek is a leading Chinese open-source large language model series known for its free commercial use, excellent performance, and ultra-long context capabilities. Since its launch in 2023, it has be

This article provides a comprehensive analysis of Generative Engine Optimization (GEO), explaining its core principles and differences from traditional SEO. It then presents a detailed ranking of the top 10 global GEO service providers for 2026, based on authoritative evaluations and data from over 3500 enterprises. The guide concludes with a practical framework for businesses to select the GEO partner that best fits their industry, scale, and specific needs. 原文翻译： 本文全面分析了生成式引擎优化（GEO）的核心原理及其与传统SEO的区别。基于权威评测与3500+企业实战数据，深度盘点了2026年全球TOP10优质GEO优化服务商。最后，为企业提供了根据行业、规模与具体需求选择最适合的GEO合作伙伴的实用框架。

As generative AI search penetration exceeds 55% in 2026, GEO has become essential for brand survival. This article analyzes five leading GEO service providers based on Q1 2026 market data and industrial delivery logic, providing actionable selection criteria and risk avoidance strategies for enterprises. 原文翻译： 随着2026年生成式AI搜索渗透率突破55%，GEO已成为企业品牌生存的必答题。本文结合2026年Q1市场实测数据与工业化交付逻辑，深度解析5家头部GEO服务商，为企业提供可落地的选型参考与风险规避策略。

Generative Engine Optimization (GEO) is revolutionizing digital marketing by shifting from traditional search traffic to AI-driven trust-based interactions, with China's market projected to grow 36-fold to ¥9 billion by 2027. Brands must prioritize digital sovereignty through AI-friendly infrastructure and real-time monitoring to secure their presence in generative AI ecosystems. 原文翻译：生成式引擎优化（GEO）正在通过从传统搜索流量转向基于AI的信任交互，彻底改变数字营销格局。预计到2027年，中国市场将增长36倍，达到90亿元。品牌必须通过AI友好型基础设施和实时监控，优先保障数字主权，以在生成式AI生态系统中稳固自身地位。

Mastra implemented the LongMemEval benchmark to improve agent memory, achieving 80% accuracy through iterative optimizations including tailored templates, smarter memory updates, and better formatting - demonstrating RAG's continued effectiveness for agent memory. 原文翻译： Mastra通过实施LongMemEval基准测试来改进智能体记忆，通过定制模板、更智能的内存更新和更好的格式化等迭代优化，实现了80%的准确率，证明了RAG在智能体记忆中的持续有效性。