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Using Large Language Models to Understand Telecom Standards
April 5, 2024, 4:47 a.m. | Athanasios Karapantelakis, Mukesh Shakur, Alexandros Nikou, Farnaz Moradi, Christian Orlog, Fitsum Gaim, Henrik Holm, Doumitrou Daniil Nimara, Vincent
cs.CL updates on arXiv.org arxiv.org
Abstract: The Third Generation Partnership Project (3GPP) has successfully introduced standards for global mobility. However, the volume and complexity of these standards has increased over time, thus complicating access to relevant information for vendors and service providers. Use of Generative Artificial Intelligence (AI) and in particular Large Language Models (LLMs), may provide faster access to relevant information. In this paper, we evaluate the capability of state-of-art LLMs to be used as Question Answering (QA) assistants for …
abstract artificial artificial intelligence arxiv complexity cs.ai cs.cl generative generative artificial intelligence global however information intelligence language language models large language large language models mobility partnership project service service providers standards telecom type vendors
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