// Hacker Noon · 19 January 2026

Helpful & Harmless AI: Alignment Training Improves Performance on Almost All NLP Evaluations

This paper shows how large language models can be aligned using reinforcement learning from human feedback (RLHF). By training preference models on helpfulness and harmlessness data, then optimizing with PPO, the authors produce assistants that are safer, more useful, and often more capable than bas...

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