Transformers have really become the dominant architecture for many of these sequence ... encoder representations from transformers (BERT), which could be considered one of the first LLMs ...

Compilers are vital in the artificial intelligence landscape because they bridge the gap between high-level AI frameworks and ...

You don’t often hear the expression “what’s old is new again” when it comes to technology, a field where almost everything is ...

BERT is a 2018 language model from Google AI based on the company’s Transformer neural network architecture. BERT was designed to pre-train deep bidirectional representations from unlabeled text ...

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 ...

To achieve this objective, we proposed a framework for spine report generation that utilizes transformer architecture, trained on textual ... The incorporation of KD results improved both the BERT and ...