AWhat changed
A human-feedback pipeline improved evaluated instruction-following preferences over a larger base model.
Scientific scope
2022 twenty-author paper and its evaluated prompt distribution; not full alignment, absence of harm, or all later chat assistants.
Evidence
The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the twenty-author 2022 paper. Reported preference, truthfulness and toxicity gains are distribution- and evaluator-dependent, and the work does not establish complete alignment or absence of harmful failures.
Contributors
- The named authors listed in the linked research record · SCIENCE: Complete source byline retained in the research record; this collective display does not merge person identities or measure labor shares.
- Ouyang et al., Training language models to follow instructions with human feedback
- OpenAI: Aligning language models to follow instructions
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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