Generative AI Adoption in Automotive Vehicle Technology: Case Study of Custom GPT

Abstract

Generative Artificial Intelligence (GenAI) is revolutionizing the automotive industry by introducing transformative applications in areas such as autonomous driving, vehicle maintenance, and in-car assistance. This paper explores the utilization of GenAI, with a particular focus on Large Language Models (LLMs) that enhance vehicle technology across various domains. By using GenAI, automotive manufacturers can improve design prototyping,predictive maintenance, and data management. The adoption of GenAI-driven technologies simplifies real-time data analysis, enabling faster decision making, optimizing resource use, and improving vehicle safety. In autonomous driving, LLMs assist in generating safety requirements and navigating complex scenarios, further streamlining the development of self-driving systems. Additionally, GenAI enhances user experience through advanced in-car virtual assistants, offering more intuitive and interactive support for drivers. A custom GPT, fine-tuned to the Volvo S80 Owner’s Manual, is presented in this paper, showcasing its potential to simplify complex vehicle information for users. This paper also addresses the challenges associated with scaling GenAI in the automotive industry, including data pipeline management and real-time access to critical vehicle data. As the automotive sector continues to evolve, the adoption of GenAI technologies becomes crucial for sustaining innovation and preserving a competitive advantage.