Utilizing Large Language Models to Boost Innovative Research and Development in Enterprises

DOI

10.2991/978-94-6463-506-5_43How to use a DOI?

Keywords

large language models; corporate research and development; Transformer; ChatGPT

Abstract

With the advancement of large language models like ChatGPT, harnessing these technologies for fostering innovation and research & development (R&D) has emerged as an important exploratory practice for enterprises. This paper offers an in-depth analysis of the extensive applications of large language models within the sphere of corporate innovation and R&D, highlighting their remarkable capabilities in facilitating knowledge acquisition, enhancing emotional comprehension, generating creative ideas, and boosting the efficiency of R&D teams. Additionally, the paper discusses certain limitations associated with large language models, including challenges in assessing the reliability of generated content and a deficiency in domain-specific knowledge. Building on these insights, we advocate for enterprises to adopt a hybrid approach, integrating human expertise with large language models to maximize the collaborative benefits. Through comprehensive analysis and discussion, this paper aims to provide substantial guidance and reference for effectively applying large language models in innovative R&D, which makes it a valuable experience for enterprises exploring this cutting-edge domain.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jinqi Chu
AU  - Yongjin Zhang
AU  - Chongxiao Qu
AU  - Changjun Fan
AU  - Guiwu Xie
AU  - Shuo Liu
AU  - Lixian Yu
PY  - 2024
DA  - 2024/09/02
TI  - Utilizing Large Language Models to Boost Innovative Research and Development in Enterprises
BT  - Proceedings of the 2024 4th International Conference on Enterprise Management and Economic Development (ICEMED 2024)
PB  - Atlantis Press
SP  - 392
EP  - 400
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-506-5_43
DO  - 10.2991/978-94-6463-506-5_43
ID  - Chu2024
ER  -