Chain-of-thought prompting is a technique used to improve the reasoning abilities of large language models (LLMs). It works by providing a series of intermediate reasoning steps, leading the model to the final answer. This “chain of thought” helps the model break down complex problems and generate more accurate and comprehensive responses. How it works: Traditional … Continue reading Chain-of-thought prompting