535B LLM open training begins

Open training of large language models is rare because of the high compute and data costs. This initiative makes the process transparent, potentially allowing the research community to observe how a 535B parameter model develops. The use of 23B activated parameters suggests a sparse architecture, which could reduce inference costs. Observing this training may provide insights into model scaling and efficiency, though the outcome is still uncertain.