Research on Application of Large Language Models in Enterprise Product Research and Development
With the rapid development of large language models(LLMs),using this technology to empower product research and experimental development(R&D)is becoming a hot spot for enterprise exploration and practice.This paper conducts an in-depth analysis on the multifaceted roles of LLMs in corporate product R&D,elaborating on their superior performance in knowledge acquisition,emotion comprehension,and idea conception,as well as their potential to enhance the efficiency of R&D teams.Meanwhile,certain limitations of LLMs are discussed,such as challenges in assessing the reliability of generated content and the lack of expertise knowledge.Based on these insights,we propose that enterprises should adopt a hybrid human-machine intelligence organizational structure,integrating LLMs with human R&D teams to maximize their synergistic effects.Through our in-depth analysis and discussion,this paper provides valuable references and guidance for the application of LLMs in product R&D.
large language modelsenterprise product research and developmentTransformerChatGPT
NETL
NSTL
万方数据
