How Can You Measure the Success of LLM Chatbots Using the ReAct Pattern?
Evaluating the success of LLM (Large Language Model) chatbots is essential to ensure they deliver accurate and relevant answers to user inquiries. The ReAct pattern—Reason, Act, and Collaborate—provides a structured framework for comprehensively assessing chatbot performance. This guide explores how to apply the ReAct pattern to measure and enhance the effectiveness of LLM chatbots, ultimately improving user experience and achieving business objectives.