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#width–depth trade-off

VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse

Ying Nie, Kai Han et al.Dec 16arXiv

Large language models get smarter when they get bigger, but storing all those extra weights eats tons of memory.

#VersatileFFN#parameter efficiency#virtual experts