1. Introduction
Recently, Large Language Models (LLMs) have attracted significant attention. The key to their success lies in their remarkable ability to process a wide range of word-based inputs, including prompts, questions, dialogues, and vocabulary spanning diverse domains, resulting in significant and coherent textual outputs. LLMs serve as vast store-houses of abundant information and knowledge acquired from numerous texts, much like the human brain. Considering the LLM's ability to emulate the human brain functions, it prompts us to ask: could we leverage the impressive capabilities of LLMs to revolutionize the future of autonomous driving?