RAG到底是什么?为什么所有企业都在做RAG?企业级RAG又是如何设计和优化的?本文将从原理、架构、调优、难点、最新技术发展等多个角度,带你系统理解RAG。 如果说大模型(LLM)是企业AI的大脑,那么RAG(Retrieval-Augmented Generation)就是连接企业知识的神经系统。
AI时代,企业正在犯一个似曾相识的错误:以为给AI更多数据,它就会变得更聪明,但事实是,海量信息并不会自动带来智慧,甚至可能让AI陷入混乱。 将海量数据直接倾倒给AI并不能让它变得更聪明,真正关键的是为它提供正确的头部信息,而不是让它面对各种相互矛盾的“事实”。 如果你在硅谷的AI圈子里待得足够久,就会反复听到同一个观点:AI需要上下文。 这句话大体上是对的。问题在于,“上下文”已经成为整个行业中 ...
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点击上方蓝字关注我,加个🌟标不迷路。 大家好,我是 cxuan。 Grok Build 前两天属实是站在风口浪尖上了。 先给大家先复盘一下整个事情。 一份针对 grok 0.2.93 的流量分析显示,Grok Build 在测试中上传了整个 Git 仓库,其中包括未被 Agent 读取的文件和 Git 历史 ...
Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...
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