Chain of thought prompting

Chain of Thought (CoT) prompting is a technique used in natural language processing to enhance the reasoning capabilities of large language models. It involves breaking down complex problems into a series of intermediate steps, allowing the model to generate more accurate and coherent responses by thinking through the problem step-by-step. This method is particularly beneficial for tasks requiring logical reasoning, multi-step calculations, or understanding intricate scenarios.

Chain of thought prompting was discovered on April 16th 2024 and it currently has a search volume of 14.8K with a growth of +4900%.