DataFun Summit 2023: Large Language Models and AIGC Conference
DataFun will host the DataFun Summit 2023 on June 17‑18, featuring three chairs and eight presenters who will discuss core topics such as large language model research, multimodal generation, reinforcement learning, tool learning, distributed training, and industry applications, with free registration via QR code.
DataFun is organizing the DataFun Summit 2023, a two‑day event (June 17‑18) focused on large language models (LLMs) and generative AI (AIGC). The summit brings together leading researchers and industry experts from Meta, Alibaba, Microsoft, NVIDIA, and top universities to share the latest advances and practical applications.
Key speakers include Chen Yu (Meta AI), Huang Fei (Alibaba DAMO Academy), Wu Wei (Beijing University), Zhang Yongfeng (Rutgers University), and many others, each presenting talks on topics such as multimodal model training, reinforcement learning, tool learning, distributed LLM training, and AI‑driven product innovation.
The program is divided into several sub‑forums: foundational model and large‑model fundamentals, reinforcement learning, multimodal and AIGC, training and inference, knowledge enhancement, intelligent agents, and industry‑focused applications like search advertising, voice cloning, and document intelligence. Each session provides an outline of the talk, audience benefits, and technical insights.
Attendees can register for free by scanning the QR code displayed throughout the promotional material. The event aims to provide both academic depth and practical guidance for researchers, engineers, and product managers interested in the rapidly evolving AI landscape.
DataFunSummit
Official account of the DataFun community, dedicated to sharing big data and AI industry summit news and speaker talks, with regular downloadable resource packs.
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