Systematic Review of Large Language Models and Future Directions

Large Language Models have revolutionized natural language processing with their remarkable ability to understand and generate human-like text. This review explores the various applications of large language models, highlighting their versatility across different domains. The paper begins with an introduction to LLMs, followed by an overview of their types and a detailed literature review. We then examine their limitations before delving into specific applications such as text generation, translation, summarization, and more. Finally, we discuss future directions for research and development, concluding with a summary of key findings and the potential impact of large language models on various industries.