Improving language model behavior by training on a curated dataset

Researchers have discovered that language model behavior can be improved for specific behavioral values through fine-tuning on small, curated datasets. This approach offers a more efficient method for aligning AI models with desired behavioral outcomes without requiring massive training resources.