TY - JOUR
T1 - Large Language Models for Telecom
T2 - Forthcoming Impact on the Industry
AU - Maatouk, Ali
AU - Piovesan, Nicola
AU - Ayed, Fadhel
AU - De Domenico, Antonio
AU - Debbah, Merouane
N1 - Publisher Copyright:
© 2025 IEEE
PY - 2025
Y1 - 2025
N2 - 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 the 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 anomaly resolution and technical specification 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 toward fully harnessing the potential of LLMs, and unlocking their capabilities to the fullest extent within the telecom domain.
AB - 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 the 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 anomaly resolution and technical specification 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 toward fully harnessing the potential of LLMs, and unlocking their capabilities to the fullest extent within the telecom domain.
UR - http://www.scopus.com/inward/record.url?scp=85217846237&partnerID=8YFLogxK
U2 - 10.1109/MCOM.001.2300473
DO - 10.1109/MCOM.001.2300473
M3 - Article
AN - SCOPUS:85217846237
SN - 0163-6804
VL - 63
SP - 62
EP - 68
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 1
ER -