This project implements a hybrid neural network model that leverages BERT embeddings and a custom Feed Forward Transformer to accurately distinguish between genuine and fabricated news articles. The ...

How transformers work, why they are so important for the growth of scalable solutions and why they are the backbone of LLMs.

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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 reports alongside the ... The incorporation of KD results ...

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 ...

The adaptability of transformers is remarkable; their self-attention architecture allows them to process and learn from data in ways that traditional models cannot. This capability has led to ...

the Transformer architecture, and advanced models like GPT and BERT. The culminating module, “Prompt Engineering,” is dedicated entirely to the principles and practices of prompt engineering, ...