Qwen系列开源大模型
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林俊旸,只恨不是梁文锋
投中网· 2026-03-05 06:49
以下文章来源于东四十条资本 ,作者韦香惠 张楠 东四十条资本 . 聚焦股权投资行业人物、事件、数据、研究、政策解读,提供专业视角和深度洞见 | 创投圈有趣的灵魂 将投中网设为"星标⭐",第一时间收获最新推送 林俊旸是国内大模型领域公认的顶尖技术专家,拥有多年自然语言处理领域的研发与产业落地经验,全程主导了Qwen系列开源大模型的架构设计与迭 代研发。 Qwen终究不是DeepSeek,阿里也不是字节。 作者丨 韦香惠 张楠 来源丨 东四十条资本 最年轻的阿里P10,千问Qwen系列基模核心负责人林俊旸,正式提出离职。 对于离职原因,阿里方面尚未给出官方答复。但网上已经有了诸多流传,据我了解,核心矛盾集中在战略方向的变化。 有份网传的阿里内部通义大会的沟通实录,想必不少人都看过了。阿里首席人才官蒋芳给这次组织调整定调,这波调整是为了扩充更多人才、投入更多 资源。同时明确了集团的态度,阿里是模型公司,Qwen是整个集团的事,不只是基模团队的事。但也承认,组织形式没沟通好,新人引入带来了阵型变 化。 背景是,通义实验室计划将Qwen团队从垂直整合体系,拆分为预训练、后训练等独立的水平分工团队,林俊旸的管理权限相当于 ...
阿里千问APP上线次日即冲进苹果App Store总榜前四 排名超越DeepSeek
Zheng Quan Ri Bao Wang· 2025-11-18 07:13
Core Insights - Alibaba's newly launched AI application, Qianwen APP, quickly rose to the fourth position in the Apple App Store's free app rankings, surpassing DeepSeek, indicating strong initial user interest and engagement [1] - The launch of Qianwen marks Alibaba's aggressive entry into the AI to C (consumer) market, with the company positioning it as a key player in the "future battle of the AI era" [1] - Qianwen APP is designed to be a free service that integrates deeply with various life scenarios within Alibaba's ecosystem, aiming to compete directly with ChatGPT [1] - The Qwen series of open-source large models has achieved over 600 million downloads globally since its full release in 2023, with the flagship model Qwen3-Max outperforming top international models like GPT-4 and Claude 3 Opus [1] Strategic Goals - The strategic objective of Qianwen APP is to create a future "AI life portal," functioning as a personal AI assistant that can engage in conversation and perform tasks [2] - In addition to intelligent dialogue, the app's core focus will be on its ability to execute complex tasks, such as generating PowerPoint presentations from a single command [2] - Alibaba plans to integrate various life scenarios, including maps, food delivery, ticket booking, and office tasks, into Qianwen to enhance its operational capabilities [2]
阿里千问APP上线一天即冲入总榜前五
Yang Zi Wan Bao Wang· 2025-11-18 06:32
Core Insights - Alibaba's newly launched AI application, Qianwen APP, quickly rose to the fifth position in the Apple App Store's free app rankings shortly after its public testing, surpassing competitors like DeepSeek [1] - The launch signifies Alibaba's aggressive entry into the AI to C (consumer) market, with Qianwen positioned as a key player in the "future battle of the AI era" [4] - Qianwen APP aims to become a personal AI assistant that not only engages in intelligent conversation but also performs complex tasks, such as generating PPTs [5] Group 1 - Qianwen APP's public testing led to server congestion, indicating high user demand and interest [1] - The app is designed to integrate deeply with various life scenarios within Alibaba's ecosystem, targeting competition with ChatGPT [4] - The Qwen series of open-source models has achieved over 600 million downloads globally since its full release in 2023, with the flagship Qwen3-Max model outperforming top international models like GPT-4 and Claude 3 Opus [4] Group 2 - Alibaba's strategic goal for Qianwen APP is to create a future "AI life portal" that can handle various tasks beyond simple conversation [5] - The app plans to incorporate functionalities related to maps, food delivery, ticket booking, and office tasks, enhancing its service capabilities [5] - Qwen models are becoming foundational technology for Silicon Valley startups, with notable endorsements from industry leaders like Airbnb's CEO [4]
阿里千问APP上线一天即冲入总榜前五,超越Deepseek
Ge Long Hui· 2025-11-18 04:59
Core Insights - Alibaba's newly launched AI application, Qianwen APP, quickly rose to the fifth position in the Apple App Store's free app rankings, surpassing DeepSeek, indicating strong initial user interest and traffic [1][3] - The launch of Qianwen marks Alibaba's aggressive entry into the AI to C (consumer) market, positioning it as a competitor to ChatGPT [3] - Qianwen APP is backed by Alibaba's Qwen series of open-source large models, which have seen over 600 million downloads globally since their full release in 2023, with the flagship model Qwen3-Max outperforming top international models like GPT-4 and Claude 3 Opus [3][4] Product Features and Strategy - The strategic goal of Qianwen APP is to become the "AI life portal," functioning as a personal AI assistant capable of both conversation and task execution [4] - Qianwen APP can perform complex tasks such as generating PowerPoint presentations from a single command and has demonstrated superior performance in investment competitions against leading models [4] - Alibaba plans to integrate various life scenarios, including maps, food delivery, ticket booking, and office tasks, into Qianwen to enhance its service capabilities [4]
推动人工智能产业迈向更高水平
Jing Ji Ri Bao· 2025-05-04 22:13
Group 1: Core Insights - Artificial intelligence (AI) is a strategic technology driving a new wave of technological revolution and industrial transformation, recognized for its strong "leading goose" effect and as a key engine for cultivating new productive forces [1][2] - The Chinese government has prioritized AI development, with "AI+" included in the 2024 Government Work Report and a focus on fostering future industries through AI actions [1][2] - The AI industry is experiencing rapid growth, entering a high-speed development phase driven by technological innovation and commercial application [1][4] Group 2: Historical Development - The development of AI has gone through several phases, from initial exploration in the 1950s to significant breakthroughs in the 21st century, particularly with the rise of deep learning and applications in various fields [2][3] - The emergence of large-scale pre-trained models in 2020 marked a new stage in AI development, enabled by advancements in high-performance computing and the availability of massive datasets [4][5] Group 3: Industry Structure - The AI industry is divided into core industries, which include software algorithms, hardware products, and platform services, and fusion application industries that integrate AI into traditional sectors [6][9] - The core AI industry and fusion application industry mutually promote each other, leading to a relatively complete industrial system with continuous technological innovation and expanding investment [6][9] Group 4: Global Landscape - The United States leads in AI development, focusing on high-performance general models before penetrating vertical industries, creating a "top-down" development path [7][8] - In contrast, the European Union and Japan leverage their resource endowments and industrial foundations, with the EU focusing on data resources and regulatory frameworks, while Japan emphasizes AI integration with manufacturing [8][9] Group 5: China's AI Development - China's AI development emphasizes overall layout and industrial synergy, leveraging its comprehensive manufacturing base to prioritize application and industry collaboration [9][10] - From 2017 to 2024, China's core AI industry scale surged from 18 billion to 600 billion yuan, with over 4,700 companies and leading global positions in research output [10][11] Group 6: Application Scenarios - AI large models are primarily applied in voice assistants and intelligent customer service, with the intelligent customer service market reaching 3.94 billion yuan in 2023 [12][13] - In manufacturing, AI models enhance efficiency across the entire production chain, with applications in design, predictive maintenance, and quality inspection [14][15] Group 7: Challenges and Opportunities - The AI industry faces challenges in core technology breakthroughs and ecosystem construction, with a need for improved collaboration among large and small enterprises [16][17] - Despite significant investments, the AI sector in China is still developing, with a need for sustainable business models and effective integration of AI into various industries [18][19] Group 8: Future Directions - Future AI development in China will focus on top-level design, tackling key core technologies, and enhancing the industrial ecosystem to foster innovation and application [19][20] - Collaborative innovation in AI applications will be essential, with a focus on addressing common challenges across industries and promoting the integration of AI into various sectors [21]