Core Insights - The automotive industry is undergoing an unprecedented transformation driven by artificial intelligence, with companies exploring the potential applications of large models [1] - AutoHome has developed the Cangjie large model, leveraging industry data to enhance automotive intelligent services [1][4] Group 1: Cangjie Large Model - The Cangjie large model is based on industry big data and advanced technology, making it the most suitable intelligent model for the automotive sector [1][4] - The model addresses three key challenges faced by general large models in the automotive field: the hallucination problem, proprietary data issues, and data prediction difficulties [4] - AutoHome's extensive real user behavior data and professional evaluation content provide a solid foundation to overcome these challenges, allowing for tailored adjustments to the model [4][5] Group 2: AI-Driven Intelligent Services - The Cangjie large model enhances understanding of automotive knowledge, enabling accurate responses in areas such as model comparisons and promotional policy interpretations [5] - AutoHome's AI assistant product integrates two decades of industry data and expertise, offering users timely and professional automotive services [7] - Users can interact with the AI assistant in a conversational manner, allowing for quick identification of suitable vehicle options based on their preferences [7][8] Group 3: Future Developments - The AI assistant will undergo significant upgrades to include more data on used cars and vehicle-related content, enhancing its service capabilities [8] - The integration of online and offline services aims to streamline the purchasing process, linking user intentions to offline dealers [8] - AutoHome is committed to leveraging new technologies to drive digital transformation across the automotive industry, creating a comprehensive ecosystem for intelligent services [8]

近日，邮储银行（601658）与中国外汇交易中心深度合作，率先推出全市场首个投行业务场景AI交易 机器人——"邮小宝"。据了解，"邮小宝"依托中国外汇交易中心Ideal平台打造，是市场上首个以主承销 商身份亮相的信用债交易机器人。 如果说2024年被认为是"大模型应用元年"，那么，2025年必定是大模型等AI技术应用出现"百花齐放"之 年。作为数据最为密集、数字化基础最为成熟的行业，银行业无疑是其中的"排头兵"。 《金融时报》记者通过梳理2024年上市银行年报中关于AI战略与应用的披露情况，并观察各行在2025 年的最新动向发现，如今，大多数银行将AI战略的核心聚焦于"AI+"，且与过去主要集中于赋能单项业 务不同，一些领先银行已将"AI+"覆盖C端用户、B端客户以及对内员工等全业务流程。 AI开始深度赋能银行对公业务 在多家银行披露的AI应用场景中，已实现落地应用的成熟场景主要集中于智能编码研发、智能营销、 智能客服、智能风控、合规内审、消费者权益保护以及日常经营管理流程等。 值得关注的是，在零售信贷、财富管理等与C端用户交互较多的场景之外，近期，有多家银行在金融市 场、交易银行、公司金融等对公业务层面结合 ...