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large language model pretraining

topic1 events
papersSEP 11 04:00 UTC

Paper Proposes Output Embedding Centering to Curb LLM Pretraining Instability

A new arXiv preprint introduces a method called output embedding centering aimed at reducing output logit divergence, a form of training instability that tends to appear late in large language model pretraining. The authors position it against commonly used mitigations such as z-loss. The work is a research contribution rather than a released model or product.

pretraining/training-stability/llm/research