Thinking about High-Quality Human Data

The article discusses the critical importance of high-quality human-labeled data for training modern deep learning models, particularly for classification tasks and RLHF labeling used in LLM alignment. Despite the recognized value of quality data, there's a notable preference in the ML community for model development work over data collection and annotation work.