llm_training_handbook
This handbook provides methodologies for engineers involved in large language model training, featuring scripts and commands to streamline problem-solving. Focus is placed on model parallelism, throughput maximization, tensor precision, and hyper-parameter tuning. Aimed at technical professionals, it acts as a valuable resource for enhancing training efficiency. For more conceptual insights, see the Large Language Model Training Playbook. The content is available under Attribution-ShareAlike 4.0 International and Apache License 2.0.
