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Apr 23, 2023 · BERT-based neural architectures have established themselves as popular state-of-the-art baselines for many downstream NLP tasks.
Apr 23, 2023 · This paper presents a performance study of transformer language models under different hardware configurations and accuracy requirements
An exploratory study of BERT-based models under different resource constraints and accuracy budgets is presented to derive empirical observations about this ...
Apr 23, 2023 · BERT-based neural architectures have established themselves as popular state-of-the-art baselines for many downstream NLP tasks.
Co-authors ; Exploring Challenges of Deploying BERT-based NLP Models in Resource-Constrained Embedded Devices. S Sarkar, MF Babar, MM Hassan, M Hasan, SKK Santu.
This paper presents a performance study of transformer language models under different hardware configurations and accuracy requirements
However, these architectures are data-hungry and consume a lot of memory and energy, often hindering their deployment in many real-time, resource-constrained ...
Exploring Challenges of Deploying BERT-based NLP Models in Resource-Constrained Embedded Devices. View Code Notebook Code for Similar Papers: Code for ...
Dec 1, 2023 · BERT is good for NLP because it enables transfer learning with large language models, capturing complex textual patterns and achieving ...
Apr 23, 2023 · Our findings can help designers understand the deployability and performance of transformer language models, especially those based on BERT ...
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