I’m thrilled about the possibilities that new language models like o1 preview and o1 mini bring to the table. These models enhance chain-of-thought prompting and reasoning, allowing for more thoughtful and detailed responses—particularly in coding, mathematics, and science.
Examples with o1 preview:
• Mathematics Problem Solving:
Prompt: "Solve the quadratic equation x^2 - 5x + 6 = 0 step by step."
The model will provide a detailed solution:
1. Identify the equation: x^2 - 5x + 6 = 0 .
2. Factor the quadratic: (x - 2)(x - 3) = 0 .
3. Set each factor to zero: x - 2 = 0 or x - 3 = 0 .
4. Solve for x: x = 2 or x = 3 .
• Coding Assistance:
Prompt: "Write a Python function to merge two sorted lists into one sorted list, and explain each step."
The model will output the code along with an explanation for each part of the function.
Examples with o1 mini:
• Quick Calculations:
Prompt: "What is the derivative of sin(x)?"
The model will promptly answer:
• “The derivative of sin(x) is cos(x).”
• Scientific Facts:
Prompt: "State Newton's second law of motion."
The model will respond:
• “Newton’s second law states that Force equals mass times acceleration (F = ma).”
These models are accessible to all ChatGPT Plus users and those on Tier 5 of the API, enabling more efficient and accurate prompt engineering for complex tasks.