Process Reward Models: Why a correct result does not yet prove a correct method
17 Aug

Process Reward Models: Why a correct result does not yet prove a correct method

This series continuously examines individual basic AI terms and methods, such as the Process Reward Model. The previous episode dealt with a sobering finding: generating is cheap, verifying is the actual bottleneck. A system can generate thousands of candidate answers in a short time; the real work only begins afterwards, when the correct answer has to be found among these candidates.

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