Chain-of-Thought (CoT) Prompting guides the AI through a step-by-step thinking process. This technique dramatically improves performance on complex tasks like mathematics, logic, and multi-step problems.
Question: Max has €64. Books cost €12 each. How many can he buy?
Thought process:
1. Max has €64 available
2. Each book costs €12
3. Number of books = €64 ÷ €12 = 5.33
4. Since you can't buy partial books: 5 books
5. Cost: 5 × €12 = €60
6. Remainder: €64 - €60 = €4
Answer: Max can buy 5 books and has €4 left over.
Show examples of how the thinking process should look.
Example 1:
Question: Sarah has 20 apples. She gives her sister 25% and eats 3.
How many remain?
Solution:
- Start: 20 apples
- 25% of 20 = 5 apples for sister
- After sharing: 20 - 5 = 15 apples
- After eating: 15 - 3 = 12 apples
Answer: 12 apples remain.
Example 2:
Question: A store offers 15% discount on an item for €80.
What is the final price?
Solution:
- Original price: €80
- Discount: 15% of €80 = 0.15 × €80 = €12
- Final price: €80 - €12 = €68
Answer: The final price is €68.
Your task:
Question: Lisa saves €200 monthly. After 8 months she buys a
laptop for €1,200. How much money remains?
Should our company invest in new software for €50,000?
Analysis steps:
1. Current costs due to inefficiency: €8,000/month
2. Expected savings through software: 60%
3. Monthly savings: €8,000 × 0.6 = €4,800
4. Amortization period: €50,000 ÷ €4,800 = 10.4 months
5. ROI after 2 years: (€4,800 × 24 - €50,000) / €50,000 = 130%
Recommendation: Yes, the investment pays for itself in less than a year.
"Solve this in the following steps:
1. Identify the given information
2. Determine what is being asked
3. Choose the right method
4. Perform the calculation
5. Verify the result"