議題
"Support AI": AI-Powered Framework for Efficient Case Resolution
As the wave of AI surges across the world, everyone is impressed by its performance and excited about leveraging its power to streamline daily tasks. At Canonical Ubuntu, we're actively developing a new AI-powered assistant that analyzes incoming cases, identifies potential causes, and suggests solutions based on existing knowledge sources. In this talk, Gavin will provide a comprehensive overview and discuss implementation ideas for the framework.
世界各地正迎來人工智能熱潮，人們對其表現讚嘆不已，並熱切期待利用其强大功能簡化日常工作。Canonical Ubuntu公司正積極開發一種新型的人工智能助理，該助理可以分析新收到的客戶問題，識別根本的問題所在，並且根據現有的知識庫提出解决方案。在本演講中，Gavin將介紹整個設計框架的概況並討論靈感的來源。
講者
Gavin Guo
Gavin Guo was a Linux kernel developer in the Ubuntu community. He was the speaker of Spectre v2 Internal at the 2018 China L3C and KASan debugging at the 2016 China Linux Kernel Conference. He worked for Canonical in the Customer Success division. He was responsible for the kernel stability and performance tuning of the OpenStack platform, especially in the areas of NUMA (Nonuniform Memory Access), Page Reclaim, and the SLUB allocator. He was the one who introduced KASAN into the team to investigate kernel issues on the OpenStack platform, which put an end to many nightmares.
Currently, Gavin is the engineering manager of the APAC sustaining engineering team at Canonical. He leads a distributed team in the Asia Pacific region, with engineers from diverse backgrounds, from user to kernel space. They work together to identify and solve complicated issues in large-scale environments, especially in performance evaluation, analysis, and tuning for the Ubuntu cloud.