This groundbreaking study explores the expanse of Large Language Models
(LLMs), such as Generative Pre-Trained Transformer (GPT) and Bidirectional
Encoder Representations from Transformers (BERT) across varied domains ranging
from technology, finance, healthcare to education. Despite their established
prowess in Natural Language Processing (NLP), these LLMs have not been
systematically examined for their impact on domains such as fitness, and
holistic well-being, urban planning, climate modelling as well as disaster
management. This review paper, in addition to furnishing a comprehensive
analysis of the vast expanse and extent of LLMs' utility in diverse domains,
recognizes the research gaps and realms where the potential of LLMs is yet to
be harnessed. This study uncovers innovative ways in which LLMs can leave a
mark in the fields like fitness and wellbeing, urban planning, climate
modelling and disaster response which could inspire future researches and
applications in the said avenues.

这项开创性的研究探讨了大型语言模型（LLMs）如生成式预训练变换器（GPT）和双向编码器表示来自变换器（BERT）在技术、金融、医疗保健、教育等各个领域的广泛应用。尽管它们在自然语言处理（NLP）方面已经展现出卓越的能力，但这些 LLMs 在健身、整体福祉、城市规划、气候建模以及灾害管理等领域尚未得到系统性的研究，本综述除了提供对 LLMs 在不同领域的广泛应用进行全面分析外，还揭示了 LLMs 潜力尚未被利用的研究空白和领域。这项研究发现了 LLMs 在健身福祉、城市规划、气候建模和灾害响应等领域留下印记的创新方式，可以激发未来在这些领域的研究和应用。