Large language models for telecom: Forthcoming impact on the industry

A Maatouk, N Piovesan, F Ayed… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have emerged as a transformative force, revolutionizing
numerous fields well beyond the conventional domain of Natural Language Processing …

Large language models for telecom: The next big thing?

L Bariah, Q Zhao, H Zou, Y Tian, F Bader… - arXiv preprint arXiv …, 2023 - arxiv.org
The evolution of generative artificial intelligence (GenAI) constitutes a turning point in
reshaping the future of technology in different aspects. Wireless networks in particular, with …

A comprehensive overview of large language models

H Naveed, AU Khan, S Qiu, M Saqib, S Anwar… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

Large language models in healthcare and medical domain: A review

ZA Nazi, W Peng - arXiv preprint arXiv:2401.06775, 2023 - arxiv.org
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable capability to …

Pushing large language models to the 6g edge: Vision, challenges, and opportunities

Z Lin, G Qu, Q Chen, X Chen, Z Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs), which have shown remarkable capabilities, are
revolutionizing AI development and potentially shaping our future. However, given their …

Llm inference unveiled: Survey and roofline model insights

Z Yuan, Y Shang, Y Zhou, Z Dong, C Xue, B Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
The field of efficient Large Language Model (LLM) inference is rapidly evolving, presenting a
unique blend of opportunities and challenges. Although the field has expanded and is …

Evaluating large language models: A comprehensive survey

Z Guo, R Jin, C Liu, Y Huang, D Shi, L Yu, Y Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have demonstrated remarkable capabilities across a broad
spectrum of tasks. They have attracted significant attention and been deployed in numerous …

Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …

[PDF][PDF] Efficient large language models: A survey

Z Wan, X Wang, C Liu, S Alam, Y Zheng… - arXiv preprint arXiv …, 2023 - researchgate.net
Abstract Large Language Models (LLMs) have demonstrated remarkable capabilities in
important tasks such as natural language understanding, language generation, and …

A review of current trends, techniques, and challenges in large language models (llms)

R Patil, V Gudivada - Applied Sciences, 2024 - mdpi.com
Natural language processing (NLP) has significantly transformed in the last decade,
especially in the field of language modeling. Large language models (LLMs) have achieved …