Comparison
Chain-of-Thought vs Prompt
Chain-of-Thought and Prompt are both common AI/LLM terms but cover different ideas. Here is a quick side-by-side.
When you would reach for Chain-of-Thought
Chain-of-Thought comes up when the question is fundamentally about prompting.
"Solve this word problem step by step." — model shows working.
When you would reach for Prompt
Prompt comes up when the question is fundamentally about prompting.
A system prompt + user message + a few-shot examples = a typical prompt.
Frequently asked
What is the difference between Chain-of-Thought and Prompt?
Chain-of-Thought: Chain-of-thought prompting asks the model to show its reasoning step by step before giving a final answer. It dramatically improves performance on multi-step problems. Prompt: A prompt is the text you send to an LLM to elicit a response. It typically includes a system message, optional examples, and the user's query.
When should I use Chain-of-Thought vs Prompt?
Chain-of-Thought is the right concept when you are focused on prompting. Prompt applies when you are focused on prompting.
Are Chain-of-Thought and Prompt the same thing?
No. Chain-of-Thought is prompting; Prompt is prompting. They are related but address different parts of the AI stack.