Large Language Models for Telecom: Forthcoming Impact on the Industry

• URL: http://arxiv.org/abs/2308.06013v2
• Date: Sun, 25 Feb 2024 23:06:28 GMT
• Title: Large Language Models for Telecom: Forthcoming Impact on the Industry
• Authors: Ali Maatouk, Nicola Piovesan, Fadhel Ayed, Antonio De Domenico, Merouane Debbah
• Abstract summary: Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force. We delve into the inner workings of LLMs, providing insights into their current capabilities and limitations. We uncover essential research directions that deal with the distinctive challenges of utilizing the LLMs within the telecom domain.
• Score: 13.456882619578707
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing fields well beyond Natural Language Processing (NLP) and garnering unprecedented attention. As LLM technology continues to progress, the telecom industry is facing the prospect of its impact on its landscape. To elucidate these implications, we delve into the inner workings of LLMs, providing insights into their current capabilities and limitations. We also examine the use cases that can be readily implemented in the telecom industry, streamlining tasks, such as anomalies resolutions and technical specifications comprehension, which currently hinder operational efficiency and demand significant manpower and expertise. Furthermore, we uncover essential research directions that deal with the distinctive challenges of utilizing the LLMs within the telecom domain. Addressing them represents a significant stride towards fully harnessing the potential of LLMs and unlocking their capabilities to the fullest extent within the telecom domain.

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