超过70名工程师和开发者在首尔Qwen Meetup上交流AI产品实战经验。channeltalk团队分享了如何在两周内构建处理5亿条记录的可观测性管道;Omelet介绍了生产级AI架构;TeamSparta演示了在阿里云Model Studio上构建AI助手。核心结论是Qwen3.6能显著提升团队规模化交付AI产品的效率。活动由阿里云韩国团队和TFM社区支持。
Over 70 engineers and developers packed Qwen Meetup Seoul #2 on Labor Day eve to build real AI products.
The evening featured practical, hands-on presentations:
channeltalk's 박진영 shared how his team built a 500M-record observability pipeline in just 2 weeks.
Omelet's 최원준 walked through production-scale AI architectures.
TeamSparta's 권도현 demonstrated building an AI assistant on Alibaba Cloud Model Studio.
Takeaway: Qwen3.6 is a productivity multiplier for teams shipping AI at scale.
Thank you to all speakers, the TFM community, and the Alibaba Cloud Korea team. See you at #3!