Abstract Transformer-based models are widely used in natural language processing (NLP) for their capacity to produce coherent and contextually relevant text. Among the top Transformer models are GPT-3, GPT-J, T5, and BERT. Although these models share a common underlying structure, they vary in distinct characteristics and functionalities. The paper seeks to analyze and evaluate the […]
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