Transformers are the craze right now (especially in the NLP domain) and so it is natural (or even required) for any Deep Learning enthusiast to have undergone the underlying concepts and/or apply them ...

They are crucial in tasks like machine translation, text summarization, and image captioning. Decoders often use attention mechanisms to focus on relevant parts of the input during generation. The ...

as well as reverse translation. The primary objective is to enhance the accuracy and efficiency of machine translation systems for these language pairs. Recent advances in language translation are due ...

As the field progressed, the focus shifted toward understanding sequences of text, which was crucial for tasks like machine translation ... for different tasks: BERT (Bidirectional Encoder ...

On general NLP tasks like machine translation, answering questions ... with a broader range of application. While the transformer includes two separate mechanisms — encoder and decoder, the BERT model ...