The Technology Behind BLOOM Training

The article details the training methodology and architecture of the BLOOM model, a 176 billion parameter multilingual language model developed by the BigScience collaboration. It utilizes a transformer architecture optimized for distributed training across multiple GPUs, employing a novel mixture of experts approach to enhance efficiency. This work is significant for practitioners as it provides insights into scaling large language models and the challenges associated with training such extensive systems, including data handling and resource allocation.