Large Language Models (LLMs) have transformed natural language processing (NLP), making related applications such as machine translation, sentiment analysis, and conversational agents more precise and efficient. However, the significant computational and energy needs of these models have raised sustainability and accessibility concerns.
LLMs, containing billions of parameters, need extensive resources for training and implementation. Their high-level…
