In the bustling realm of the telecom industry, a nuanced understanding of domain-specific language is more than just a nicety - a necessity. The sector has replete with its unique set of jargons and abbreviations, a labyrinth of terms that Natural Language Processing (NLP) models must navigate with precision. The goal? To prevent the ripple of miscommunication and foster a seamless interaction between humans and machines. Now, the market is swash with large language models