Llm Pre Training, Llm Architecture, Model Quantization, Scaling Model Training, Llm Domain Adaptation.
small and large deep learning models. In this article, we will explore two popular techniques, Distributed Data-Parallel (DDP) and Fully Sharded Data Parallel (FSDP), that allow efficient scaling of model training across GPUs. Distributed Data-Parallel (DDP): Source :