Models
Process Reward Model (PRM)
A reward model that scores every intermediate step of a solution, not just the final answer.
In depth
A reward model that scores every intermediate step of a solution, not just the final answer. OpenAI's Let's Verify Step by Step compared this process supervision against outcome supervision on the MATH dataset and found process supervision trained a much more reliable model, solving 78% of a representative test subset. The paper also released PRM800K, a dataset of 800,000 step-level human labels, and PRMs are commonly used to rerank sampled reasoning traces.
Primary source: arxiv.org
Example
In practice, developers reach for Process Reward Model (PRM) when they need the capability described above as part of an AI feature or workflow.
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FAQ
Common questions
What is Process Reward Model (PRM)?
A reward model that scores every intermediate step of a solution, not just the final answer.
Why does Process Reward Model (PRM) matter for AI developers?
Process Reward Model (PRM) sits in the Models part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Process Reward Model (PRM)?
Developers Digest publishes tutorials and videos that cover Models topics including Process Reward Model (PRM). Check the blog and YouTube channel for hands-on walkthroughs.
Related
Related terms
Models
Self-Consistency
A decoding strategy that samples several chain-of-thought reasoning paths for the same question and returns the final answer that appears most often.
Models
Hybrid Reasoning Model
A single model that can either answer directly or think at length before answering, instead of shipping separate chat and reasoning models.
Models
RL Environments
The interactive setting a model acts in during reinforcement learning.
Put this concept to work
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