AIGC-Interview-Book and Machine-Learning-Interviews
About AIGC-Interview-Book
WeThinkIn/AIGC-Interview-Book
【三年面试五年模拟】AIGC算法工程师面试秘籍。涵盖AIGC、LLM大模型、传统深度学习、自动驾驶、AI Agent、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
The repository provides structured interview preparation across both algorithm engineering and development roles, organizing content into 18+ technical modules—from foundational deep learning and classical models to specialized domains like diffusion models, multimodal AI, and autonomous driving. It synthesizes real interview questions and technical deep-dives from major tech companies and AIGC startups, complemented by curated algorithm problem sets, system design patterns, and model deployment frameworks (vLLM, TensorRT-LLM, ollama). The project maintains an accompanying knowledge community (Zhihu, WeChat public accounts, knowledge planet group) that provides peer interview feedback, job referrals, and salary transparency data across Chinese tech companies.
About Machine-Learning-Interviews
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Covers six core interview modules spanning general algorithms, ML-specific coding (model training, evaluation), foundational ML theory, and system design patterns for production environments. Structured around real interview experiences from FAANG companies, it provides practical guidance on translating ML fundamentals into engineering solutions while addressing the lack of standardized ML interview formats across organizations.
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