Core Viewpoint - The article discusses the latest trends in various professional large models for 2025, highlighting advancements in AI applications across different industries, particularly in autonomous driving, commercial research, and insurance services [5][6][7][8]. Group 1: Autonomous Driving - The emergence of driver large models is transforming intelligent driving from a "functional tool" to a "cognitive partner," enabling proactive understanding of user intent and iterative learning [5]. - The Li Auto VLA driver model, launched in July 2025, achieves human-like thinking with high-frequency reasoning at 10 times per second, utilizing natural language interaction to understand user needs and preferences [5]. - NIO's NWM world model enhances safety with a full-scene redundancy system, simulating 216 scenarios within 100 milliseconds [5]. Group 2: Commercial Research and Consumer Insights - Researcher large models leverage advanced natural language processing and reasoning capabilities to provide human-level insights for market research and business analysis [6]. - The startup Tezan Technology's atypica.AI offers a professional large model that compresses traditional research processes from weeks to 10-20 minutes, significantly improving efficiency [6]. - The system achieves over 85% accuracy in behavior prediction through a diverse AI persona library and multi-dimensional user profiles [6]. Group 3: Insurance and Other Fields - The insurance industry is seeing the application of professional large models that enhance proactive engagement and demand analysis, moving beyond traditional reactive models [7]. - Ping An's AI smart insurance planner utilizes a Multi-Agent model to provide coordinated services across various insurance types, improving efficiency by 70% compared to traditional methods [7]. - Academic research large models demonstrate human-like research capabilities, optimizing complex tasks from market analysis to academic exploration [7].