Core Insights - The article emphasizes the importance of Post-Training as a transformative approach in AI, moving beyond simple model optimization to creating specialized intelligent engines tailored to specific business needs [1][4] - The evolution of Post-Training technology is highlighted, showcasing a shift from Supervised Fine-Tuning (SFT) to Reinforcement Learning (RL) methodologies, which better align with complex business requirements [2][4] Summary by Sections Post-Training Evolution - The initial approach in the industry was SFT, which allowed models to learn specific domain knowledge and dialogue styles [2] - However, SFT was insufficient for teaching models complex value judgments and strategic choices, which are critical in real business scenarios [3] - The focus has shifted to RL, evolving from human-dependent methods (RLHF) to automated systems (RLVR) and the innovative use of Natural Language Rewards [4][5] Implementation Pathway - The article outlines a four-step pathway for enterprises to implement Post-Training effectively, addressing challenges such as data quality, high labeling costs, and defining reward signals [5][8] - Successful case studies from companies like Zhihu, AutoHome, and Weibo illustrate practical applications of these steps, showcasing improvements in data quality and model performance [7][8] Step 1: Data Preparation - High-quality data is identified as the cornerstone of successful Post-Training, with companies spending 60-70% of their time on data preparation [10] - Zhihu and AutoHome have developed methods to enhance data quality through pre-labeling and structured data utilization, respectively [11][13] Step 2: Model Selection - Choosing the right base model is crucial, with many companies opting for the Tongyi Qianwen series due to its performance and support for Post-Training [14][16] - The model's architecture and open-source ecosystem facilitate easier implementation of Post-Training techniques [15][18] Step 3: Reward Mechanism Design - The design of a reward mechanism is essential for aligning model outputs with business objectives, transitioning from human feedback to automated verification systems [24][25] - Companies like Yingmi Fund are exploring ways to integrate expert decision-making frameworks into their models to enhance performance [26] Step 4: Evaluation System - A robust evaluation system is necessary to measure the effectiveness of Post-Training, with Yingmi Fund developing benchmarks to assess model performance in real-world scenarios [27][28] - Successful implementations have led to significant improvements in model accuracy and business outcomes, as seen in the case of Baifeng Cloud and Quark [30][32] Conclusion - The article concludes that the true competitive advantage in AI lies in how companies leverage their unique data and business insights through Post-Training to create proprietary intelligent engines [32]

格隆汇10月7日｜美股三大指数收盘涨跌不一，道指跌0.14%，纳指涨0.71%，标普500指数涨0.36%，其 中，纳指、标普500指数创收盘新高。大型科技股多数上涨，特斯拉涨超5%，微软、谷歌涨超2%，英 伟达跌超1%。AMD涨超23%，AMD与OpenAI签订芯片供应协议。加密货币、贵金属板块涨幅居前， Bitfarms涨近15%，赫克拉矿业涨超4%，泛美白银涨超2%，Circle、Coinbase涨超1%。多元化地产、博 彩、抵押金融跌幅居前。 纳斯达克中国金龙指数收涨1%。热门中概股中，小牛电动涨23.01%，网易有道涨7.08%，满帮涨 4.63%，Boss直聘、文远知行至多涨3.66%，老虎证券、小鹏至少涨2.43%，百胜中国、百度至多涨约 2.08%，亿航智能、贝壳、京东、中通快递、汽车之家、名创优品至多涨1.83%。 ...

EF001 免責聲明 | 香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性或完整性亦不發表任何聲明，並明確表示，概不對因 | | | --- | --- | | 公告全部或任何部份內容而產生或因倚賴該等內容而引致的任何損失承擔任何責任。 | | | 股票發行人現金股息公告 | | | 發行人名稱 | Autohome Inc. | | 股份代號 | 02518 | | 多櫃檯股份代號及貨幣 | 不適用 | | 相關股份代號及名稱 | 不適用 | | 公告標題 | 宣派及派付現金分紅 | | 公告日期 | 2025年9月30日 | | 公告狀態 | 新公告 | | 股息信息 | | | 股息類型 | 其他 | | 普通分紅 | | | 股息性質 | 普通股息 | | 財政年末 | 不適用 | | 宣派股息的報告期末 | 不適用 | | 宣派股息 | 每 股 0.1475 USD | | 股東批准日期 | 不適用 | | 香港過戶登記處相關信息 | | | 派息金額及公司預設派發貨幣 | 每 股 0.1475 USD | | 匯率 | 1 USD : 1USD | | 除淨日 | ...

汽车之家-S(02518)公布，于北京时间2025年9月30日，董事会已批准派发每股美国存托股0.5900美元(或 每股普通股0.1475美元)的现金分红金额，将分别以美元支付给于纽约时间及北京╱香港时间2025年10 月20日休市后登记在册的美国存托股及普通股持有人。分红总额将为约人民币5亿元。分红预计将于 2025年11月14日或前后支付予普通股持有人及于2025年11月20日或前后支付予美国存托股持有人(通过 存托银行及须遵守存托协议的条款)。 ...

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香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性或完整性亦不發表 任何聲明，並明確表示概不會就本公告全部或任何部分內容而產生或因倚賴該等內容而引致的任何損失承擔任何 責任。 Autohome Inc. 汽車之家* （於開曼群島註冊成立的有限公司） （股份代號：2518） 內幕消息 現金分紅 本公告乃由Autohome Inc.（「本公司」）根據香港聯合交易所有限公司證券上市規則（「上市 規則」）第13.09條及第13.10B條以及香港法例第571章證券及期貨條例第XIVA部項下之內 幕消息條文（定義見上市規則）刊發。 於北京時間2025年9月30日，本公司宣佈其董事會（「董事會」）已批准派發每股美國存託 股0.5900美元（或每股普通股0.1475美元）的現金分紅金額（「分紅」），將分別以美元支付 給於紐約時間及北京╱香港時間2025年10月20日休市後登記在冊的美國存託股及普通股 持有人。分紅總額將為約人民幣5億元。為符合獲取分紅的資格，普通股持有人需最遲 於北京╱香港時間2025年10月20日下午4點30分前，將所有有效的股份過戶檔案連同有關 股票證明文件送達汽車之家的香 ...

Group 1 - The municipal government emphasizes the importance of adapting to new trends and changes in consumer behavior to promote consumption transformation and upgrade, aiming to better meet the needs of the public for a better life [1] - The "New Dragon Gate Inn" project, a national phenomenon-level IP, is expanding into Taizhou, providing immersive performance services and enriching new consumption formats in the local area [3] - The local brand "Fire Little义" has won multiple awards for its cultural and creative products, and the government encourages the cultivation of new consumption types to unleash domestic demand potential [3] Group 2 - The innovative "Gold Medal Buyer" model and the "Automobile Space + Coffee Bar" concept at the "Car Home Space Station" transform car purchasing into a high-end leisure and social experience, which is positively acknowledged by the municipal government [3] - The government stresses the importance of food safety, especially with the upcoming National Day and Mid-Autumn Festival, urging businesses to ensure product quality and enhance service levels [4] - The government highlights that consumption is a crucial engine for economic growth, calling for collaboration among various departments and enterprises to drive consumption transformation and upgrade for high-quality economic development [4]

也许在不远的将来，汽车不再仅仅只是响应用户的指令，而可以主动与用户交谈，为用户分忧解难，甚 至在用户手握方向盘时，已经规划好最合适的路线、调节好最适宜的车内温度。这并非遥不可及的科幻 场景，而是一幅正由人工智能精心绘制的现实图景。 海尔集团董事、汽车之家董事会主席兼首席执行官刘斥表示："当前汽车行业面临着技术路线快速演进 与产业格局深刻重塑的双重变革，机遇空前，挑战亦不容小觑。" 在这场以"Hi·Future"为主题的科技盛宴中，记者感受最强烈的就是，关于汽车行业的讨论焦点已经彻底 转变。 中国国际贸易促进委员会汽车行业分会会长王侠认为，汽车行业应跳出硬件参数与价格战的"内卷"漩 涡，而去关注一个更宏大的命题：如何让汽车从一台冰冷的机器，进化成为一个能思考、会学习、懂合 作的"轮式智能生命体"。 王侠认为，未来的汽车将不再是信息孤岛，而是智慧城市交通网络中的一个活跃节点，它能与道路、云 端、其他车辆实时"对话"，共同编织一张安全、高效、绿色的出行网络。王侠举例表示：你的车可以提 本报（chinatimes.net.cn）记者刘凯 于建平 北京报道 前接收到前方路口红绿灯的配时信息，自动平滑车速，实现"绿波通行 ...

Group 1 - The "Global AI Technology Conference" held in Beijing focuses on the integration of AI technology with the automotive industry, exploring innovative paths and development opportunities [1][3] - The conference emphasizes the importance of deep integration of AI with key sectors by 2027, aiming for rapid growth in the core industries of the smart economy [3] - The automotive industry is undergoing a critical phase of intelligent transformation, with significant achievements in AI applications [3][5] Group 2 - The conference features discussions on the future of intelligent driving, with insights from industry leaders on the advancements and challenges in autonomous driving technology [7] - A report released at the conference highlights key trends in the development of smart electric vehicles in China, indicating a new phase of competition driven by AI and intelligent features [8] - The host, Autohome, outlines its AI business strategy, focusing on enhancing user experience and operational efficiency through AI technology [8][9]

Group 1 - The research service "Asia Value & Moat Stocks" targets value investors looking for Asia-listed stocks with significant discrepancies between price and intrinsic value, focusing on deep value balance sheet bargains and wide moat stocks [1][2] - Autohome Inc. (NYSE: ATHM) is viewed positively, with an optimistic outlook on its future prospects due to discounting trends in the automotive sector and its channel strategy [1] Group 2 - The author of the investing group provides investment ideas specifically for the Hong Kong market, emphasizing deep value balance sheet bargains and wide moat stocks, along with monthly updates on watch lists [2]