Chinese Room Argument

Chain-of-Thought is a prompting technique used to improve AI reasoning by encouraging models to generate sequential, logical steps when solving complex problems. This approach helps the AI break down tasks into manageable parts, leading to more accurate and coherent solutions, especially in multi-step reasoning scenarios. It enhances transparency and interpretability in AI decision-making processes.