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Advancements in AI Model Scaling
This chapter explores the introduction of the Jamba model family and its hybrid architecture, showcasing improvements in performance and context handling. It discusses innovations like pruning and knowledge distillation, alongside scaling challenges faced by AI, including hardware and data limitations. The conversation highlights key developments and investments in AI research as the field moves towards a more sophisticated future by 2030.