Unverified50% confidenceFactExact time
在ReAct范式出现之前，业界对大型模型的使用分为两个独立方向：纯推理（如Chain-of-Thought）和纯行动
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026
Sources
Getting Started with AI Agents: A Complete Learning Path from Zero to Production
bilibiliAgent智能体搭建-6/12/2026
Related Claims
Unverified在ReAct提出之前，大模型的推理能力（以Chain-of-Thought为代表）和行动能力（以Action Generation为代表）是两条独立的研究路线79% similarVerifiedReAct框架相比纯Chain-of-Thought推理，通过引入外部信息源减少了幻觉；相比纯Action模式，通过显式推理步骤提升了决策质量74% similarUnverifiedReAct框架让模型交替进行思考(Thought)和行动(Action)，泛化能力强但每一步推理存在不可忽视的随机性74% similarUnverifiedReAct相较于纯粹的链式思考（Chain-of-Thought），引入了与外部环境的真实交互，使模型能够根据实际执行结果动态调整策略71% similarVerifiedReAct（Reasoning + Acting）框架让模型能够交替进行推理和行动71% similar
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