Navigating Agentic AI Reasoning: ReAct vs ReWOO
As generative AI evolves, agentic AI systems are notable for autonomously performing tasks and making decisions. This white paper examines two approaches to agentic AI reasoning: ReAct (Reasoning Acting) and ReWOO (Reasoning Without Observations).
It details each method's mechanics, noting ReAct's Think-Act-Observe-Adapt loop versus ReWOO's Planner-Worker-Solver model. ReWOO offers benefits like lower token usage and structured problem-solving.
A real-world scenario illustrates both methods in choosing the best crop based on success rates, conditions, forecasts, and trends.
Explore how agentic AI can enhance business operations in this evolving field.