Inside the ReAct Design Pattern: How Modern AI Thinks and Acts
SMRTR summary
The ReAct pattern for AI agents combines reasoning and acting to solve complex tasks more effectively. This design approach, introduced in 2022, has become a key component in modern agentic AI workflows. ReAct agents use a loop of thinking, acting, observing, and repeating to tackle multi-step problems, integrating external tools and data sources for improved adaptability and accuracy.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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