Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
