Research on the Application Status of Large Language Models in China's New Energy Vehicle Industry: Taking Huawei's NLP Large Model and XPENG 's XGPT as Examples

In the era of rapid development of artificial intelligence, large language models are widely used in various industries due to their powerful natural language processing and text generation capabilities, including intelligent manufacturing, intelligent services, voice interaction, and even music box text creation. In this article, I will use literature review and case analysis methods, using the Huawei NLP large model and XPENG XGPT model as examples, mainly focusing on two aspects: intelligent driving and intelligent cockpit. Deeply explore the advantages of big language models in the new energy vehicle industry, the feasibility and necessity of their application, and their future prospects. In my research, I found that previous studies on this topic mainly focused on the technical principles of intelligent driving and intelligent cockpit, model optimization solutions, and market and user feedback. In intelligent driving systems, large language models can achieve timely and accurate takeover of driving, precise navigation, and efficient scene learning through scene simulation and generation techniques. In terms of intelligent cockpit, I believe that the main approach is to utilize natural language recognition and text processing capabilities to timely complete user instructions and engage in efficient language interaction. Helping enterprises create intelligent cockpit systems that are personalized and emotional processing for users.