chain-of-thought reasoning

Method in AI and cognitive science that involves breaking down complex problems into intermediate steps, improving problem-solving and interpretability. It enhances reasoning and accuracy in complex tasks by allowing AI systems to process information in a more structured and logical manner. This approach is beneficial for AI developers and researchers aiming to improve the performance and transparency of AI models.