Young-Jun Ko – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2023-06-12T21:08:51Z http://www.open-lab.net/blog/feed/ Young-Jun Ko <![CDATA[Real-Time Natural Language Processing with BERT Using NVIDIA TensorRT (Updated)]]> http://www.open-lab.net/blog/?p=34688 2023-06-12T21:08:51Z 2021-07-20T13:00:00Z This post was originally published in August 2019 and has been updated for NVIDIA TensorRT 8.0. Large-scale language models (LSLMs) such as BERT, GPT-2, and...]]>

This post was originally published in August 2019 and has been updated for NVIDIA TensorRT 8.0. Join the NVIDIA Triton and NVIDIA TensorRT community to stay current on the latest product updates, bug fixes, content, best practices, and more. Large-scale language models (LSLMs) such as BERT, GPT-2, and XL-Net have brought exciting leaps in accuracy for many natural language processing…

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]]> 0 Young-Jun Ko <![CDATA[Real-Time Natural Language Understanding with BERT Using TensorRT]]> http://www.open-lab.net/blog/?p=15432 2022-10-10T18:51:43Z 2019-08-13T13:00:19Z Large scale language models (LSLMs) such as BERT, GPT-2, and XL-Net have brought about exciting leaps in state-of-the-art accuracy for many natural language...]]>

Large scale language models (LSLMs) such as BERT, GPT-2, and XL-Net have brought about exciting leaps in state-of-the-art accuracy for many natural language understanding (NLU) tasks. Since its release in Oct 2018, BERT1 (Bidirectional Encoder Representations from Transformers) remains one of the most popular language models and still delivers state of the art accuracy at the time of writing2.

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