cbamls/ai_tutorial

This repository is a curated collection of learning materials on artificial intelligence, maintained by a Chinese AI community called AIQ. The content is written almost entirely in Chinese and is updated automatically every day, pulling in new articles and notes from practitioners across the field. The main sections organize material by contributor rather than by topic. Dozens of named researchers, engineers, and public WeChat accounts are listed, each with their own section of notes and articles. The topics they cover span machine learning, natural language processing, image recognition, deep learning, recommendation systems, search, advertising systems, and data infrastructure. Many contributors work at well-known Chinese technology companies. A second major section covers industrial case studies from major Chinese tech companies including Alibaba, Baidu, Tencent, Xiaomi, ByteDance, Meituan, Huawei, and many others. These entries appear to be write-ups and talks from engineering teams about how they apply AI in their products. At the top of the README, there is a weekly digest section that lists recent articles published by contributors, with links, author names, and publication timestamps. This gives the collection a newsletter-like quality on top of the archival role. The repository does not contain runnable code or datasets. It is primarily a link directory and notes archive. There is no English version of the README linked from the main page, though the header mentions one. Anyone reading this who does not read Chinese will find the content largely inaccessible without translation tools. The full README is longer than what was shown.