Large Language Model (LLM) Pre-training Frameworks

Building or scaling Large Language Models (LLMs) requires navigating massive compute costs, complex data curation pipelines, and distributed system architectures. A single unoptimized pre-training run or miscalculated scaling law can result in significant resource waste and exponential API cost overruns. Understanding the exact mechanics of model initialization and optimization is critical for ma…