naequs

naequs OP t1_ivf36bj wrote

I am talking about ML in general, language processing was just a tangible example for the sake of this post.
Models keep one-upping each other in size and capabilities, but do you see meaningful potential for reduction of size (through configuration or new approaches) in more specific use cases?

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