This AI Paper from Microsoft and Tsinghua University Introduces Rho-1 Model to Boost Language Model Training Efficiency and Effectiveness

Artificial intelligence, particularly in language processing, has witnessed consistent advancements by scaling model parameters and dataset sizes. Noteworthy progress in language model training has traditionally relied on the extensive application of next-token prediction tasks across all training tokens. Despite the broad application of these techniques, the assumption that every token in a dataset contributes equally […]

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