The traditional idea of researchers leading innovation and ideas percolating from academia to industry has evolved in the machine learning community. With accessible tools, a large group of individuals, both in academia and industry, are well-versed in cutting-edge models and their capabilities. Ideas now circulate dynamically among these groups, blurring the boundaries between traditional research and practical application.

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