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AIGC-Interview-Book is a large educational repository designed to help engineers prepare for technical interviews related to artificial intelligence and generative AI roles. The project compiles knowledge from industry practitioners and researchers into a structured reference covering the AI ecosystem. Topics included in the repository span large language models, generative AI systems, traditional deep learning methods, reinforcement learning, computer vision, natural language processing, and machine learning theory. In addition to technical concepts, the repository also contains interview preparation materials such as practice questions, hiring insights, and career advice for AI engineers. The materials are organized so readers can study fundamental topics as well as advanced research areas that frequently appear in technical interviews.
Features
- Interview preparation materials for AI and generative AI roles
- Coverage of topics such as LLMs, computer vision, and reinforcement learning
- Practice questions and technical explanations for AI concepts
- Guidance on AI job preparation and industry hiring processes
- Structured knowledge base spanning multiple AI domains
- Reference materials useful for both students and experienced engineers
Project Samples
