Chain-of-Thought

Chain-of-thought prompting is a method that enables large language models to solve complex problems by explicitly showing their reasoning process. This approach mimics human problem-solving by decomposing tasks into smaller logical steps which improves accuracy and makes the model's reasoning transparent. The technique often involves providing examples that demonstrate the desired reasoning pattern.

Mathematical problem solving logical reasoning tasks decision-making processes and educational tutoring