Core Viewpoint - The article discusses the evolution of large language models from "fast thinking" to "slow thinking" paradigms, emphasizing the importance of deep reasoning and logical coherence in AI technology [2]. Group 1: Slow Thinking Technology - The new model DeepSeek-R1 enhances long reasoning chain capabilities through reinforcement learning, demonstrating superior understanding and decision-making in complex tasks [2]. - "Slow thinking" technology is identified as a key path for advancing large models towards higher intelligence levels, leading the industry towards greater automation and reliability [2]. Group 2: Upcoming Seminar - An online seminar titled "AI Slow Thinking: Complex Reasoning Technology of Large Models" is scheduled for September 9, 2025, featuring Professor Zhao Xin from Renmin University of China [2][5]. - The seminar will cover the latest research on "slow thinking" technology and its implications for large models, with discussions led by experts in the field [2][5]. Group 3: Speaker Profiles - Professor Zhao Xin specializes in information retrieval and natural language processing, with over 200 published papers and significant contributions to large language models [7]. - Dr. Chang Lanlan, the Director of Springer Nature Computer Science, will discuss the new AI book resources and their applications in research and education [10]. Group 4: Book Recommendations - A new book on large models, co-authored by Professor Zhao Xin, aims to provide a systematic framework for learners in the field, covering essential concepts and cutting-edge algorithms [16]. - The Springer Nature AI electronic book collection offers a comprehensive resource for researchers and students, covering a wide range of topics from foundational knowledge to advanced research findings [18].