wethinkin/aigc-interview-book

This repository is an interview preparation guide for engineers seeking positions in AI and machine learning, with a particular focus on generative AI (referred to as AIGC in China), large language models, AI agents, and related fields. It is written primarily in Chinese and targets the Chinese tech job market, covering roles at major internet companies, AI startups, and research institutions. The content spans technical and career topics. On the technical side, it covers generative image and video AI, large language model fundamentals, AI agents, traditional deep learning, machine learning, computer vision, natural language processing, reinforcement learning, autonomous driving, and model deployment. Programming sections cover Python, C/C++, Java, Go, and other languages used in algorithm engineering roles. On the career side, it includes resume templates, interview question collections from named companies, salary data, seasonal recruiting timelines for campus hires, and strategies for both new graduates and engineers switching into AI roles. The guide is assembled and maintained by a team of working AI professionals led by Rocky Ding, the founder of the AIGCmagic community and a widely read AI blogger with over six million article views on Zhihu (a Chinese Q&A platform). Contributing authors include senior algorithm engineers with experience at Chinese internet companies, AI startups, and research institutions, several of whom have won competitions at top AI venues. Because most of the README and linked documentation is written in Chinese, this summary captures only what can be understood from the English-language title, topic labels, and structural descriptions. The project is community-built and invites contributions through pull requests and issues.