Advancements in Transformer Architectures for Large Language Model: From Bert to GPT-3 and Beyond

The emergence of transformer architectures has revolutionized the field of natural language processing.These architectures have paved the way for developing highly sophisticated models, such as BERT and GPT-3, which have demonstrated remarkable performance across various language tasks.These models have been trained on massive amounts of textual data, enabling them to generate text that resembles human language, accurately answer complex questions, and accomplish other language-related tasks with unparalleled precision.The impact of these advancements is significant, as they have opened the door to new possibilities in the realm of natural language processing.This study has articulated different type of LLMs, their uses, issues and future directions.