Large language models (LLMs) are playing a pivotal role in deploying strategic use cases across a range of organizations, from large pan-continental companies to emerging startups. The issues and challenges involved in the successful utilization of LLMs can vary significantly depending on the size of the organization. It is important to study and discuss these pertinent issues of LLM adaptation with a focus on the scale of the industrial concerns and brainstorm possible solutions and prospective directions. Such a study has not been prominently featured in the current research literature. In this study, we adopt a threefold strategy: first, we conduct a case study with industry practitioners to formulate the key research questions; second, we examine existing industrial publications to address these questions; and finally, we provide a practical guide for industries to utilize LLMs more efficiently. We release the GitHub\footnote{\url{https://github.com/vinayakcse/IndustrialLLMsPapers}} repository with the most recent papers in the field.

翻译：大型语言模型（LLMs）在从大型泛大陆公司到新兴初创企业在内的各类组织中，正对战略用例的部署发挥着关键作用。成功利用LLMs所涉及的问题与挑战，会因组织规模的不同而产生显著差异。有必要聚焦工业界不同规模主体的关切，来研究和讨论这些LLM适配的相关问题，并集思广益探讨可能的解决方案与未来方向。此类研究在当前的研究文献中尚未得到显著体现。在本研究中，我们采取了三重策略：首先，我们与行业从业者进行案例研究以形成关键研究问题；其次，我们审视现有工业出版物以解答这些问题；最后，我们为工业界更高效地利用LLMs提供了一份实用指南。我们发布了包含该领域最新论文的GitHub\footnote{\url{https://github.com/vinayakcse/IndustrialLLMsPapers}}仓库。