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Exploring Selective Language Modeling for Efficient Model Optimization
Explore the novel concept of selective language modeling introduced in the R-H-O-1 research paper, focusing on training on useful tokens aligned with distribution for faster model optimization. The chapter challenges conventional training methods by proposing selective training based on token learning progress.