Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training

This article likely analyzes how the performance of large language models on specific tasks (downstream metrics) changes as the models are scaled up in size or training data. It's a research paper, so the focus is on empirical analysis and potentially proposing new insights into model behavior.