Core Insights - The 2025 Global Machine Learning Technology Conference will be held on October 16-17 in Beijing, featuring prominent figures from the AI industry, including researchers from OpenAI and other leading tech companies [1][3][11]. Group 1: Conference Overview - The conference will gather experts from top tech companies and research institutions to discuss cutting-edge topics such as large models, intelligent agent engineering, and multimodal reasoning [3][12]. - Keynote speakers include Lukasz Kaiser, co-founder of GPT-5 and GPT-4, and Li Jianzhong, Vice President of CSDN, who will present insights on AI industry paradigms and the evolution of large models [4][5]. Group 2: Key Presentations - Li Jianzhong will present on "Large Model Technology Insights and AI Industry Paradigm Insights," focusing on the technological evolution driven by large models [4]. - Michael Wong will discuss the "AI Platform Paradox," analyzing the reasons behind the failures of many open-source AI ecosystems and how to create a thriving environment [4]. Group 3: Roundtable Discussions - A roundtable titled "Core Issues in AI Industry Paradigm Shift" will feature discussions among industry leaders on the evolution of AI paradigms and the challenges of technology implementation [10]. - Participants include Li Jianzhong, Wang Bin from Xiaomi, and other notable scientists, fostering a high-density exchange of ideas [10]. Group 4: Afternoon Sessions - The afternoon sessions on October 16 will cover various topics, including the evolution of large language models, intelligent agent engineering, and AI-enabled software development [12][18]. - Notable speakers include experts from ByteDance, Tencent, and other leading firms, sharing their latest breakthroughs and insights [13][19]. Group 5: Second Day Highlights - The second day will feature multiple specialized sessions on embodied intelligence, AI infrastructure, and practical applications of large models [18][19]. - Key presentations will include discussions on the next generation of AI agents and the integration of AI technologies in various industries [20][22].

Core Insights - The article emphasizes the importance of understanding that intelligent agents are not a one-size-fits-all solution but require a long-term, systematic engineering approach [2][3] - McKinsey's research on 50 real projects indicates that companies often fall into similar traps when developing intelligent agents, such as over-reliance on single-point demos and neglecting engineering and governance [2] - Gartner predicts that by 2027, over 40% of Agentic AI projects will be abandoned due to imbalances in cost, value, and engineering implementation [2] Event Overview - The 2025 Global Machine Learning Technology Conference will feature a special topic on "Intelligent Agent Engineering and Practice," gathering top scholars and industry practitioners to address core pain points in the implementation of intelligent agents [3][6] - The conference will include notable speakers such as former OpenAI researcher Wu Yi and algorithm scientists from various leading tech companies, sharing their latest research and practical experiences in the field of intelligent agents [6][28] - The event aims to provide attendees with a comprehensive understanding of the engineering methods and practical experiences related to intelligent agents in the era of large models [6][28] Registration and Participation - The registration for the conference is closing soon, emphasizing the urgency for interested participants to secure their spots [28][29] - The conference has become an annual gathering for thousands of AI professionals since its inception in 2017, highlighting its significance in the AI community [28]