Transformers and Large Language Models: Revolutionizing Natural Language Processing
Keywords:
Transformer Models, BERT, GPT-3, NLP, Computational Efficiency.Abstract
With the invention of BERT, GPT, and other transformer-based models, machines have reacheda level of proficiency in understanding and producing human-like text on par with the interactionlevel between a human and a machine. The work assess milestones in the development history oftransformer models with specific
References
Aharoni, R., Johnson, M., & Firat, O. (2019). Massively multilingual neural machine translation. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 3874-3884. https://doi.org/10.18653/v1/N19-1388
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Published
2021-06-15
How to Cite
Dasari Girish. (2021). Transformers and Large Language Models: Revolutionizing Natural Language Processing. Journal of Computational Analysis and Applications (JoCAAA), 29(6), 1253–1277. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2888
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