Chain of Thought Prompting Chain of thought prompting is a technique used in interacting with advanced AI models, where the user guides the AI through a series of logical or analytical steps to arrive at a more complex or nuanced answer. This method involves breaking down a question or problem into smaller, more manageable parts and explicitly prompting the AI to consider each part in sequence. This approach helps the AI to generate responses that are more detailed, accurate, and closely aligned with the user's intent, especially for complex or multifaceted questions! This is a simple prompting example. The prompt used here is "Suggest a title for a new academic course in Artificial Intelligence." And the output is: Introduction to Artificial Intelligence: Concepts and Applications Here you can see a much more detailed example called Chain of Thought prompting. The prompt used is: Design a new academic course in Artificial Intelligence. Consider the following steps: Identify the target audience for the course. Determine the key topics to be covered. Suggest a course structure. Propose methods for evaluating student performance." The output can be seen here. You can clearly see the differences. Using chain of thought produces much more detailed results including the key topics covered, the course structure and methods of evaluation.