Meaning
A method that encourages LLMs to break down their reasoning process to generate clearer and more accurate responses.
Definition
Chain-of-Thought Prompting is a technique where an LLM is encouraged to break down its reasoning process step by step as it generates a response.
This approach leads to more transparent and accurate outputs, especially for complex tasks like mathematical problem-solving or logical reasoning, by allowing the model to articulate its thought process.
Example
Prompting an LLM with “Explain how you solved this equation step by step” can help the model provide a clear and detailed breakdown of its reasoning, improving the user’s understanding of the solution.
