bigscience
This workshop explores large language models with Megatron-GPT2 architecture through detailed trainings and experiments. It addresses model scaling, training dynamics, and instabilities, supported by extensive documentation and logs. Providing resources like code repositories and training scripts, the project fosters transparency and collaboration within the AI community, guiding toward future advancements in language models.
