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20202023
most citedtorchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models

32 citations · 41 across the 3 of their papers we have counts for

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cs.CL2021★ 4 cited

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Boseop Kim, HyoungSeok Kim, Sang-Woo Lee +34

GPT-3 shows remarkable in-context learning ability of large-scale language models (LMs) trained on hundreds of billion scale data. Here we address some remaining issues less report…