Chain-of-Thought Prompting
A technique that pushes an AI model to give a step-by-step account of its thinking as it works through a task. It is especially useful for complex tasks that require logical reasoning or multi-step calculations.
| Advantages | Drawbacks |
|---|---|
| Makes the AI decision-making process more transparent | Can take more time and resources |
| Improves accuracy on complex tasks | Not always needed for simple tasks |
| Lets you spot and fix errors in the reasoning | Requires a more elaborate prompt setup to get sound reasoning |
Example of a Chain-of-Thought prompt:
Explain the concept of machine learning in plain language. Follow this chain of thought:
1. Start with an analogy to human learning.
2. Describe the core idea of machine learning.
3. Give a simple example of it in practice.
4. Point out the key difference from traditional programming.
5. Close the explanation by stressing the importance of data.