Part 5/8:
Increased Transparency: Explaining its step-by-step reasoning makes the AI's thought process more understandable and trustworthy.
Reduced Hallucinations: When the AI consistently follows correct reasoning steps, it is less likely to generate fabricated or false information.
Experimental comparisons show that AI systems trained with process supervision outperform those trained solely on final answers, making fewer mistakes and producing solutions more akin to how humans approach problems.
Practical Example: Solving a Math Problem
Suppose the problem is to find the product of X and Y, given:
Sum of X and Y = 12
Difference between X and Y = 4
Using process supervision during training, the AI would:
- First, add the equations to find twice X = 16; then, X = 8.