Inside the 2025 GenAI Summit: Cutting-Edge Research, Industry Applications, and Expert Insights
The DataFun 2025 GenAI Summit brings together top AI researchers and industry leaders to explore the latest breakthroughs in large‑model technology, generative recommendation, AI‑driven finance, video understanding, legal AI, and marketing, featuring five heavyweight forums, live demos, and a QR‑code registration for free access.
DataFun 2025: GenAI Summit Overview
The DataFun 2025 summit showcases the rapid evolution of generative AI, covering model architecture shifts from Transformer to MoE, multimodal unification, and new alignment methods such as DPO/GRPO. It highlights how AI is lowering barriers for inference, improving data and knowledge management, and accelerating real‑world deployment.
Five Core Forums
Enterprise Efficiency & Operations : AI‑driven large‑model research, deep inference, and agentic workflows presented by experts from Ant Financial, Tencent, and Alibaba.
User Services : Advances in multimodal video understanding, AI‑enhanced search, and personalized recommendation.
Vertical Industry Applications : Legal AI, financial analysis agents, and AI‑powered video creation.
Marketing & Advertising : Generative AI for content creation, intelligent marketing automation, and data‑agent‑based decision support.
Future of AI : Memory‑augmented large models, RAG techniques, and open‑source ecosystem development.
Key Speakers & Topics
Renowned speakers include Zhao Xin from Ant Financial discussing large‑model R&D, Li Xin from Tencent on video AI, Chen Jifeng on financial AI agents, and many senior engineers from Alibaba, Baidu, and other leading firms sharing practical implementations and research findings.
Registration
Attendees can register for free by scanning the QR code provided in the agenda.
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DataFunTalk
Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.
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