[KongchangAI]
Unverified50% confidenceFactExact time

The computational cost of RLHF is extremely high: it requires simultaneously running a policy model, value model, reward model, and reference model, with memory consumption several times that of supervised learning.

1
Sources
50%
Confidence
Long-term
Relevance
9/9/2026
First Seen

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