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We have come far from the days when rule-based language models used to be the predominant thing in the market. Machine Learning came into play and changed the Language Model industry. In this paper, we will look at how RNN did a much better task for generating output based on its previous results and then how LSTM fulfilled the memory requirement for RNN. Also, we will take a look at how Transformer is much better than RNN combined with LSTM, which is the state-of-the-art language model on which the two best natural processing models like BERT and GPT3.
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Gupta et al. (2022) studied this question.
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