REVIEW ON LARGE LANGUAGE MODELS

Abstract

Recently there has been a paradigm shift in a machine’s ability to solve various natural language processing(NLP) tasks from generating coherent sentences to in-context learning. This shift has been enabled by pre-trained transform models on large amounts of data; the research community aptly called these models as Large Language Models(LLM). In this review we will go over a brief overview ofthe technology as well as the ethical and social implications of such models and conclude with the future potential avenues for further research.