AI article
Reinforcement Learning from Human Feedback (RLHF): Roles, Responsibilities, and How LLMs Learn What Humans Prefer
Community description: Large language models don't become aligned simply because they become larger. They become useful when...
Dev.to | Sep 12, 2026 | Nikhil raman K
Automated excerpt
What Does the Reward Model Actually Learn? The reward model attempts to approximate human preference. Instead: Human ↓ Preference comparisons ↓ Reward Model ↓ Millions of automated reward evaluations The reward model becomes a scalable approximation of human judgment. Reward Model Engineers The reward model team has a particularly important responsibility. RLHF Human ↓ Preference ↓ Reward Model ↓ RL RLAIF AI / Constitution / Evaluator ↓ Preference ↓ Reward Model or AI feedback ↓ RL RLAIF = Reinforcement Learning from AI Feedback.
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