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Modelling the future of AI | Jaime Sevilla | EAG London 23

EAG Talks

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Understanding the Trajectory of Artificial Intelligence

This chapter explores the importance of understanding artificial intelligence and its future trajectory. The speaker discusses key components of machine learning development, the exponential growth of compute power and training data, the importance of data efficiency, and the relative importance of compute, data, and algorithmic progress in explaining the performance of AI systems.

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