Generative AI in the Era of Transformers: Revolutionizing Natural Language Processing with LLMs

Abstract

The advent of Transformer models is a transformational change in the field of Natural Language Processing (NLP), where technologies are becoming rather human-like in understanding and mirroring human language. This paper highlights the impact of Generative AI, specifically the Large Language Models such as GPT, on NLP. The analysis presents the prototypical units fuelling Transformer architectures, with attention given to their applications for complex language tasks and advantages from the angle of efficiency and scalability. However, the evidence highlights substantial progress in MT, text summarization, and SA versus the baseline NLP models. This work, therefore, emphasizes the key role of using a Transformer-based LLM system as a means to grow the NLP field and can lay the foundations for developing more natural and intuitive human-computer interactions.