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Google has been investing heavily in AI and ML efficiency for the past decade. This has resulted in the development of more complex models, which are increasingly deployed in production and business applications. In order to ensure the efficiency and cost-effectiveness of these models, Google has focused on four key areas: efficient architectures, training efficiency, data efficiency, and inference efficiency.
