March 8, 2024, 5:42 a.m. | Nicola Piovesan, Antonio De Domenico, Fadhel Ayed

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.04666v1 Announce Type: cross
Abstract: The increasing interest in Large Language Models (LLMs) within the telecommunications sector underscores their potential to revolutionize operational efficiency. However, the deployment of these sophisticated models is often hampered by their substantial size and computational demands, raising concerns about their viability in resource-constrained environments. Addressing this challenge, recent advancements have seen the emergence of small language models that surprisingly exhibit performance comparable to their larger counterparts in many tasks, such as coding and common-sense reasoning. …

abstract arxiv challenge computational concerns cs.cl cs.lg deployment efficiency environments however language language models large language large language models llms sector telecom telecommunications type

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