ReAct (Reason + Act) is a prompting technique that enhances the capabilities of Large Language Models (LLMs) by enabling them to reason, plan, and interact with external tools and data sources. This technique aims to overcome the limitations of traditional LLMs, which are restricted to their training data, leading to more accurate, reliable, and sophisticated applications.