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Multilingual Model Development Insights
This chapter compares the Big Science Project and the Bloom initiative in their approaches to pre-training language models, focusing on enhancing multilingual representation. It addresses the technical challenges of optimizing data quality and representation in multilingual contexts while discussing the benefits of joint training for low-resource languages. The chapter concludes by highlighting the scaling plans for their MT5 architecture and the advantages of instruction fine-tuning over conventional methods.