curated dataset

Improving language model behavior by training on a curated dataset

OpenAI published research showing that fine-tuning language models on a small, curated dataset can improve alignment with specific behavioral values. The work demonstrates a targeted approach to shaping model behavior without large-scale retraining. This represents an early contribution to what would become the RLHF and instruction-tuning research lineage.