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Nvidia Part III: The Dawn of the AI Era (2022-2023)

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Energy Efficiency and Model Compression in AI

This chapter explores the paradox of high energy consumption during AI model training and its potential for future energy savings. It compares large language models to data compression, illustrating the benefits of model efficiency and the significance of initial training in creating compact, cost-effective representations of vast knowledge.

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