ReAct, or Reasoning + Acting, is an AI design pattern gaining traction in 2025 for its effectiveness in task execution. Introduced in 2022, the pattern enables AI agents, such as LLMs, to reason before acting, substantially improving their problem-solving capabilities. By demonstrating this process through a cooking analogy, the article highlights how ReAct transforms a basic AI response into a dynamic, interactive execution of tasks, making agents more versatile and responsive. The trend underscores a significant evolution in AI capabilities, marking a shift towards more agentic workflows.
In the world of AI, ReAct -which comes from 'Reasoning' + 'Acting'- is a design pattern where LLMs combine reasoning and acting to solve complex tasks more effectively.
A ReAct-powered agent reasons: 'Wait-what kind of sandwich? Do I have the ingredients? Where's the bread?' Then it acts: opens the fridge, grabs what it needs.
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