Brief

The ReAct Pattern is a design pattern for Large Language Models (LLMs) that enhances their reasoning and action capabilities in complex environments. It enables LLMs to perceive, reason, and act, allowing them to learn from interactions and adapt over time. This pattern is grounded in concepts like Markov Decision Processes (MDPs) and Partially Observable Markov Decision Processes (POMDPs) and has applications in chatbots, virtual assistants, autonomous vehicles, and game playing. AI