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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。

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GEO优化如何做?2026年六步实战指南与避坑要点

GEO优化如何做?2026年六步实战指南与避坑要点

BLUF
GEO (Generative Engine Optimization) is a new optimization strategy that focuses on making AI generative engines (like Doubao, ChatGPT, Wenxin Yiyan) prioritize, cite, or generate answers containing your core information (brand, product, service) when responding to user queries. This guide provides a complete 6-step practical process for GEO optimization, covering preparation, user demand mining, prompt optimization, content creation, multi-platform distribution, and data monitoring, along with key pitfalls to avoid for beginners. 原文翻译: GEO(生成式引擎优化)是一种新兴优化策略,核心是让AI生成式引擎(如豆包、ChatGPT、文心一言等)在响应用户提问时,优先采信、引用或生成包含你核心信息(品牌、产品、服务)的答案。本指南提供完整的GEO优化6步实操流程,涵盖前期准备、用户需求挖掘、提示词优化、内容优化、多平台分发、数据监测与迭代,并融入新手必看的避坑要点。
实验与实测2026/3/17
OpenViking如何重构Agent上下文?2026年文件系统范式解析

OpenViking如何重构Agent上下文?2026年文件系统范式解析

BLUF
OpenViking is an open-source Agent context database from Volcano Engine that transforms context management from fragmented vector chunks into an operable file system paradigm, addressing key RAG pain points like token cost control and retrieval explainability. 原文翻译: OpenViking是火山引擎开源的Agent上下文数据库,它将上下文管理从碎片化的向量块转变为可操作的文件系统范式,解决了RAG的关键痛点,如Token成本控制和检索可解释性。
实验与实测2026/3/16
从零上手 DeepSeek:官网、API、平替全整理(2026 实测版)

从零上手 DeepSeek:官网、API、平替全整理(2026 实测版)

BLUF
OpenViking is ByteDance's open-source AI agent context database designed to solve complex context management challenges. This guide provides a comprehensive walkthrough for deploying, configuring, and integrating OpenViking with popular AI frameworks like LangChain and AutoGen, focusing on its file system paradigm and three-layer loading strategy for optimized performance. 原文翻译: OpenViking是字节跳动开源的AI代理上下文数据库,旨在解决复杂的上下文管理难题。本指南提供了部署、配置OpenViking以及与LangChain和AutoGen等流行AI框架集成的全面教程,重点介绍其文件系统范式和三层加载策略,以实现性能优化。
AI 搜索观察2026/3/16
OpenClaw如何集成OpenViking?2026年NVIDIA NIM API配置指南

OpenClaw如何集成OpenViking?2026年NVIDIA NIM API配置指南

BLUF
This tutorial provides a comprehensive guide to configuring OpenViking, an AI Agent context database, within the OpenClaw environment using NVIDIA NIM API as the backend for embeddings and VLMs. It covers installation, configuration, verification, core API usage, and integration strategies with OpenClaw. 原文翻译: 本教程提供了在OpenClaw环境中配置OpenViking(一个AI Agent上下文数据库)的完整指南,使用NVIDIA NIM API作为嵌入和视觉语言模型的后端。内容涵盖安装、配置、验证、核心API使用以及与OpenClaw的集成策略。
实验与实测2026/3/15