GenAI Unleashed: Cutting-Edge Practices & Real-World Applications

The DataFun Summit 2025 showcases leading experts presenting the latest breakthroughs in generative AI, large‑model research, and industry‑specific applications—from financial analysis and e‑commerce recommendation to video understanding and intelligent agents—offering attendees actionable insights to accelerate AI adoption across sectors.

DataFunTalk
DataFunTalk
DataFunTalk
GenAI Unleashed: Cutting-Edge Practices & Real-World Applications

DataFun Summit 2025 – GenAI Summit

DataFun Summit 2025 brings together leading experts to discuss the latest advances in generative AI, large models, and their applications across industries such as finance, e‑commerce, video, and intelligent agents.

Core Topics

GenAI technology trends and breakthroughs (Transformer → MoE, DPO/GRPO alignment, inference optimization).

From Chat to Agent: tool integration, plugin ecosystems, autonomous task execution.

Multi‑scenario case studies covering personal assistants, creative tools, enterprise solutions, and vertical industry applications.

Featured Speakers & Talks

Zhao Xin – Senior Data Product Manager, New Oriental Education – "Large‑Model‑Driven Upgrade of Offline Store Operations: From Data to Decision".

Li Mao – Algorithm Engineer, Alibaba 1688 – "Generative Recommendation Practices at 1688".

Hu Hao – Algorithm Engineer, Alibaba 1688 – "Memory‑Enhanced Large Models: MemOS".

Wei Shaowei – Senior Algorithm Engineer, Alibaba 1688 – "RAG‑Based Retrieval in 1688 First‑Guess Scenario".

Chen Zhi – Senior Algorithm Engineer, Alibaba 1688 – "AI Search Practice".

Wang Zhenming – Senior Algorithm Engineer, Alibaba 1688 – "Large‑Model Deep Reasoning Technology".

Jiang Yao – Senior Algorithm Engineer, Alibaba 1688 – "Large‑Model Deep Reasoning Technology".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Large‑Model Deep Reasoning Technology".

Yang Peixuan – Algorithm Engineer, Ping An Property & Casualty – "AI in Tendering: Practice and Exploration".

Chen Jie – Senior Algorithm Engineer, 360 AI Research Institute – "AIGC for Image Generation and Editing".

Ye Dezhi – Senior Algorithm Engineer, Tencent – "LLM‑Based Ranking for Search".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

Liang Jun – Senior Algorithm Engineer, Alibaba 1688 – "Agentic AI System Privatization".

These talks cover topics such as large‑model training for finance, AI‑driven video understanding, low‑hallucination LLM techniques, and the deployment of intelligent agents in cloud services.

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machine learningAI applicationslarge modelsGenAIindustry AI
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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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