wethinkin/aigc-interview-book

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

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Summary Information

Updated 2 minutes ago
Added to GitGenius on September 14th, 2026
Created on October 14th, 2023
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 465
Total Stargazers: 4,707 (+3)
Total Subscribers: 25 (+0)

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Detailed Description

AIGC Interview Book is an interview preparation platform that covers artificial intelligence and machine learning career development across algorithm engineering, development, and application roles.

The platform addresses the challenge of preparing for AI industry interviews by consolidating knowledge across multiple domains including large language models, AI agents, computer vision, natural language processing, deep learning, and related fields. It organizes content around what the creators describe as cross-cycle knowledge—concepts and techniques that have proven valuable across multiple industry cycles rather than temporary trends. The approach combines technical foundations with practical interview preparation, career guidance, and insights from practitioners working in AI companies.

Developers and engineers preparing for roles in AIGC, LLM, or AI Agent positions should consider this resource if they want comprehensive coverage spanning both algorithmic foundations and applied development skills. The platform targets algorithm engineers, software developers, and product professionals entering the AI industry, and explicitly positions itself as suitable for university-level study and research in these domains. It draws on experiences from large technology companies and AI-focused startups, incorporating actual interview questions and hiring practices from these organizations.

The project maintains active documentation covering multiple career tracks and technical domains, with content organized to support both initial learning and deeper technical preparation. The platform includes practical resources such as interview question collections, company guides, salary information, and career planning materials alongside theoretical foundations.