The past decade of progress in AI can largely be summed up by one word: scale. The era of deep learning that started around 2010 has witnessed a continued increase in the size of state of the art models. This has only accelerated over the past several years, leading many to believe in the “AI Scaling Hypothesis”: the idea that more computational resourc…
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