Computer Science
Power-law scaling to assist with key challenges in artificial intelligence
Y. Meir, S. Sardi, et al.
This study reveals how optimized test errors in deep learning diminish as database sizes increase, crucial for swift decision-making. Conducted by a team of researchers at Bar-Ilan University, this research sets a benchmark for assessing training complexity across various machine learning tasks and algorithms.
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