LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey

arXiv:2402.14558v1 Announce Type: new
Abstract: Large language models (LLMs) have become the secret ingredient driving numerous industrial applications, showcasing their remarkable versatility across a diverse spectrum of tasks. From natural language processing and sentiment analysis to content generation and personalized recommendations, their unparalleled adaptability has facilitated widespread adoption across industries. This transformative shift driven by LLMs underscores the need to explore the underlying associated challenges and avenues for enhancement in their utilization. In this paper, our objective is to unravel …

abstract adaptability adoption analysis applications arxiv become challenges content generation cs.cl diverse driving industrial language language models language processing large language large language models llms natural natural language natural language processing personalized personalized recommendations processing prospects recommendations secret sentiment sentiment analysis spectrum survey tasks type