Chain-of-Thought

Chain-of-Thought refers to a cognitive process in which a model generates a sequence of reasoning steps to arrive at a conclusion or solution. This method is particularly useful in tasks that require complex problem-solving or multi-step reasoning, as it allows the model to articulate its thought process explicitly. By providing intermediate reasoning steps, Chain-of-Thought can improve the accuracy of the model's outputs and enhance its interpretability. This approach is commonly used in natural language processing tasks, such as question answering, where understanding the rationale behind an answer is crucial.