Why it matters
Alignment data quality determines model quality. Curation shapes results.
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The architecture
Sources: human, LLM-judge, synthetic.
Curation: filter noise + bias.
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How it works end to end
Datasets: UltraFeedback, HH-RLHF, PKU-SafeRLHF.
Curation: dedupe, safety filter, bias check.
Balance: helpfulness + harmlessness.