Scaling Language Models: Methods, Analysis & Insights from Training Gopher

This paper presents the methods, analysis, and insights from training Gopher, a 280 billion parameter language model developed by DeepMind. It covers scaling laws, training efficiency, and model performance across various tasks. The paper is published on arXiv under identifier 2112.11446 and is openly accessible.