Part 6/8:
Next, substitute X into the sum equation to find Y = 4.
Finally, multiply X and Y to get 32.
At each step, the reward model evaluates correctness, guiding the AI to refine its reasoning until it reaches the correct solution with explainable steps.
Challenges and Limitations
While the benefits are clear, process supervision isn’t without limitations:
Computational Cost: Evaluating each reasoning step demands more processing time and resources, increasing training costs.
Task Suitability: Some problems lack a clear reasoning path or require creative solutions, making step-by-step supervision less effective.
Real-World Complexity: The model’s ability to avoid mistakes in complex, unpredictable real-world scenarios remains to be fully tested.