The Small Language Model market is growing rapidly, driven by demand for efficient AI solutions in various industries like healthcare and finance.Pune, March 12, 2025 (GLOBE NEWSWIRE) -- Small ...

EPEE employs a dual-exit mechanism that balances efficiency and precision across biomedical datasets. The entropy-based ...

This study highlights the use of transformer-based models to analyze Japanese tweets, improving real-time detection of heat stroke incidents for public health.

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch ...

To achieve this objective, we proposed a framework for spine report generation that utilizes transformer architecture, trained on textual reports alongside the visual features extracted from the ...

This paper proposes QDLTrans, a framework designed to enhance translation performance under resource-scarce conditions by integrating the multilingual pre-trained model ML-BERT into the Transformer ...

Learn More Today, virtually every cutting-edge AI product and model uses a transformer architecture ... encoder representations from transformers (BERT), which could be considered one of the ...