Zero-shot
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research.googleblog.com21ブックマークDrag-and-Drop LLMs: Zero-Shot Prompt-to-WeightsModern Parameter-Efficient Fine-Tuning (PEFT) methods such as low-rank adaptation (LoRA) reduce the cost of customizing large language models (LLMs), yet still require a separate optimization run for every downstream dataset. We introduce \textbf{Drag-and-Drop LLMs (\textit{DnD})}, a prompt-condi...
arxiv.org
arxiv.org
www.mattari-benkyo-note.com19ブックマーク[PDF]Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationGoogle’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat melvinp,schuster,qvl,krikun,yonghui,zhifengc,nsthorat@google.com Fernanda Viégas, Martin Wattenberg, Greg Corrad...
arxiv.org
arxiv.org
echizen-tm.hatenablog.com
zenn.dev13ブックマークGoogle's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationWe propose a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages. Our solution requires no change in the model architecture from our base system but instead introduces an artificial token at the beginning of the input sentence to specify ...
arxiv.org
arxiv.org