LLMs are a type of artificial intelligence technology that can process and analyze vast amounts of natural language data. These models have shown significant potential in a variety of applications, including language translation, content creation, and even education. In 2018, Google introduced BERT , a pre-trained model that uses the Transformer architecture and has achieved impressive results in various natural language processing tasks due to training on a vast corpus of text. RoBERTa introduced by Facebook in 2019, is an extension of BERT that uses a similar architecture but is trained on a larger corpus of text with longer sequences and more iterations. Introduced in 2019 by Google researchers, T5 is a large language model that uses a unified text-to-text approach, converting all tasks to text-to-text format and training them in a single model. T5 has achieved state-of-theart performance on various natural language processing tasks. OpenAI's 2020 GPT-3 is among the largest pre-trained language models to date. It has extensive training data and can perform various NLP tasks with few examples, garnering praise for its performance.