拉开上市序幕。 报道/投资界PEdaily 炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 这一幕终于来了。 投资界获悉，智谱AI已通过港交所上市聆讯，正式递交招股书。几乎同一时间，另一家大模型公司 MiniMax也顺利闯过聆讯关——"大模型第一股"之争打响了。 成立于2019年，智谱AI背后站着一群清华大牛——CEO张鹏本硕博均毕业于清华，董事长刘德兵同为 清华校友。颇为壮观的是，智谱AI身后集结了一支长长的投资人队伍。 作者/王露 刘博 回顾这个月，国产GPU第一股竞赛历历在目：摩尔线程、沐曦排队敲钟，缔造创投圈一场久违的超级回 报。如今，相似一幕即将发生在国产大模型——上市如上岸，身后的投资人将率先享受到中国大模型的 IPO红利。 清华大牛带队 中国版OpenAI要敲钟了 智谱AI的故事，始于2006年的清华实验室。 彼时，清华计算机系知识工程实验室（KEG实验室）发布AMiner平台，即利用人工智能的方法，去挖 掘自然科学或技术发展的客观规律。其中，张鹏在2002年从清华本科毕业后，便作为硕士研究生进入 KEG实验室深造，此后他攻读清华2018创新领军工程博士。 直到2019 ...

Core Viewpoint - The article emphasizes that the industrialization of large models is becoming a reality, significantly impacting various sectors and driving the digital transformation of industries [3][4][6]. Group 1: Industrialization of Large Models - The large model trend is accelerating, with significant integration into industries such as finance, automotive, technology, and education [3][5][12]. - By 2024, the usage of large models in China's public cloud reached 114.2 trillion tokens, indicating a shift from early exploration to large-scale implementation [5]. - Major cloud service providers collectively acted in early 2024 to lower the barriers for enterprises to deploy large models, enhancing accessibility [5][10]. Group 2: Trends in Large Model Implementation - Three key trends in the implementation of large models have emerged: 1. Deepening scenarios where value is released from office efficiency to core industry processes [6]. 2. Companies transitioning from passive innovation to actively seeking deployment points based on clear business pain points [7]. 3. Strengthening ecosystem collaboration, with cloud providers becoming crucial enablers for the deployment of large models [9][10]. Group 3: Sector-Specific Applications - In finance, large models are enabling ordinary investors to make more informed investment decisions through tools like the GuoXin Stock Assistant, which utilizes large model capabilities for market analysis [13][15]. - The automotive industry is diversifying its applications of large models, with companies like SAIC Volkswagen and BMW implementing AI-driven solutions for enhanced user interaction and marketing [16][19][20]. - In education, institutions like Nankai University and Zhejiang University are leveraging large models to improve teaching efficiency and research capabilities [21][22][24]. Group 4: Challenges and Future Outlook - The large model landscape faces challenges such as balancing model capability with security and efficiency, high operational costs, and integration difficulties into existing business systems [33][34][35]. - The article predicts that the B-end AI Agent market in China could grow to 171.8 billion yuan by 2025, indicating a long-term trend towards the integration of AI in business operations [41]. - The future of large models is expected to evolve into a fundamental infrastructure for enterprises, with cloud providers playing a key role in facilitating this transition [42].

Group 1 - Baidu's intelligent cloud has established deep cooperation with 65% of central enterprises to explore AI innovation [1] - The launch of the Qianfan Huijin financial model aims to enhance AI applications across various industries, including finance, energy, transportation, healthcare, and environment [1] - The new production relationships are essential for integrating AI technology into various sectors to improve productivity [1] Group 2 - The Qianfan Huijin financial model has been developed with extensive financial data and optimized algorithms, offering 8B and 70B parameter versions [2] - The model has outperformed general-purpose models in various tasks, demonstrating its superior capabilities in identifying key business process elements [2] - Baidu emphasizes the importance of domestic chips and has increased investments in infrastructure to support AI applications [2] Group 3 - The Baidu Baichuan platform efficiently schedules and is compatible with various domestic chips, achieving over 95% training time utilization in large clusters [3] - This platform provides solid support for model development in key national industries [3] Group 4 - Baidu is committed to long-term investment in advanced AI infrastructure to accelerate the industrialization of large models and unlock more value in various scenarios [4]