Transformers are a type of neural network architecture designed to handle sequential data, particularly suited for tasks where the context of input data is crucial. In 2017, google released the paper titled attention is all you need vaswani et al. That ushered a new era in the world of machine learning and natural language processing. By leveraging the unique transformer architecture, transformers one is set to overcome the challenges of traditional ai systems, providing a more nuanced and. From bert to gpt, from vits to transformer variants, we cover the diverse family of models that have emerged.
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