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AI Scaling Laws: Bigger Is Better?
The push to build more capable artificial intelligence systems has led to intriguing discoveries. One of the most prominent is the idea of scaling laws, which suggest that a model's performance often improves predictably as you increase the size of your training data, the computations used to train the model, and even the model's size. These relationships, often expressed as power laws, are providing guidance on the best path forward in AI research and development.
Written byAria Singh
Published onDecember 30, 2024
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