Techniques for Training Large Neural Networks
Large neural networks are at the core of many recent advances in AI, but training them is a difficult engineering and research challenge which requires orchestrating a cluster of GPUs to perform a single synchronized calculation. As cluster and model sizes have grown, machine learning practitioners have developed an increasing
Pipeline Parallelism Pipeline Parallel Tensor Parallel Moe Transformer Precision Training Efficient Optimizers
Source: openai.com