本文深入探讨了AI智能体基础设施的定义与架构现状。作者指出,随着大语言模型的能力提升,Agent正成为新的应用形态,但其基础设施建设仍处于早期阶段。文章详细分析了从模型编排、记忆管理到工具调用及评估体系的技术栈挑战,对比了不同方案的优劣。对于关注AI应用落地的开发者和架构师而言,这篇文章提供了宝贵的行业洞察,有助于理解构建下一代高可用AI智能体所需的关键底层能力。
原文链接:V2EX 分享发现
本文深入探讨了AI智能体基础设施的定义与架构现状。作者指出,随着大语言模型的能力提升,Agent正成为新的应用形态,但其基础设施建设仍处于早期阶段。文章详细分析了从模型编排、记忆管理到工具调用及评估体系的技术栈挑战,对比了不同方案的优劣。对于关注AI应用落地的开发者和架构师而言,这篇文章提供了宝贵的行业洞察,有助于理解构建下一代高可用AI智能体所需的关键底层能力。
原文链接:V2EX 分享发现
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