Understanding the massive undertaking of pre-training a large language model.
The self-supervised tasks used to train LLMs from scratch.
The process of assembling and cleaning massive text corpora.
The optimizers used to train models with billions of parameters.
High-level overview of how training is scaled across many GPUs.