• RLHF — Reinforcement learning from human feedback — training a model to prefer answers humans rate as better, which turns a raw text predictor into a usable assistant.

Preference tuning recipes are tuned and validated in English by default. This shows how to extend RLHF-style optimization across languages and what data is needed for the gains to transfer.

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