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Innovations in AI Efficiency
This chapter explores groundbreaking optimizations in software development, particularly in AI model training and inference. It discusses Google's revolutionary changes to data centers and emphasizes advancements such as mixture of experts and multi-head latent attention techniques in the DeepSeek V2 model. The chapter also addresses ethical concerns, transparency in research methodologies, and the contrasting approaches of open-source versus closed-source AI systems in the face of government influence.