LIMe method cuts LLM training compute ~15% without quality loss
Read original source →reddit.com
Researchers from T-Tech presented LIMe at EMNLP 2026 in Hungary, a method that trains language models with roughly 15% less compute without compromising quality. In standard Transformers each layer relies solely on the hidden state passed from the previous layer.
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