Dynamic Short Convolutions Improve Transformers
Researchers have developed a new method called Dynamic Short Convolutions to improve transformer architectures. This advancement is for large language models due to transformers' scalability and flexibility.
Topics
Developing
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Sources · 7 independent
Modernity/arxiv
“Dynamic Short Convolutions Improve Transformers. Authors: Oliver Sieberling, Bharat Runwal, Rameswar Panda, Yoon Kim Abstract: Transformers have become the dominant architecture for large language models, largely due to the scalability and flexibil...”
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