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IBM and NASA build language models to make scientific knowledge more accessible

In a new collaboration, IBM and NASA created a suite of efficient language models by training on scientific literature. Based on the transformer architecture, these models can be used in a variety of applications, from classification and entity extraction to question-answering and information retrieval. These models achieve high performance across a variety of domains and can respond promptly. We have open-sourced the models on Hugging Face for the benefit of the scientific and academic communit...

Read more at research.ibm.com

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