Managing Complexity in Language Model Operations

This chapter explores the challenges of operating large language models, focusing on the need for advanced filtering and monitoring tools for effective experiment tracking. It emphasizes the importance of detailed metric collection and monitoring, particularly in multi-data center GPU clusters, to enhance researcher efficiency and preemptively address potential issues.