This repository provides a comprehensive guide for AIGC (Artificial Intelligence Generated Content) and general algorithm engineering job seekers. It compiles interview experiences, technical knowledge, and career advice across various AI domains, aiming to equip candidates with the necessary preparation for securing roles in the rapidly evolving AI industry.

How It Works

The project aggregates practical insights and foundational knowledge from experienced AIGC algorithm experts. It covers a broad spectrum of AI topics, including traditional deep learning, computer vision, natural language processing, reinforcement learning, and emerging areas like AI Agents and embodied intelligence. The content is derived from real-world interview questions, company insights, and the authors' professional experiences, serving as both a study aid and a reference for professionals.

Quick Start & Requirements

• Access: Primarily through the GitHub repository. Community and premium resources are available via a WeChat-linked "Knowledge Planet" (知识星球).
• Prerequisites: No specific software installation is required to access the core GitHub content. Participation in the community or premium resources may require WeChat and the Knowledge Planet app.
• Resources: The project is continuously updated, with community contributions encouraged via PRs and Issues.

Highlighted Details

• Covers both AIGC-specific and general algorithm/developer roles.
• Includes sections on AI painting, video, multimodal, digital humans, and model deployment.
• Offers practical advice on resumes, interview strategies, salary expectations, and job hunting timelines.
• Features contributions from multiple senior AIGC algorithm experts with industry and research backgrounds.

Maintenance & Community

The project is maintained by Rocky Ding (founder of AIGCmagic community) and other senior algorithm experts. It encourages community participation through PRs, Issues, and a dedicated WeChat group/Knowledge Planet for ongoing discussion and resource sharing.

Licensing & Compatibility

The repository content is generally available for learning and reference. Specific licensing details for commercial use or redistribution are not explicitly stated in the README, but the project encourages sharing and contribution.

Limitations & Caveats

While comprehensive, the project's primary focus is on job preparation and may not serve as a deep technical reference for advanced research. Some community resources are behind a paywall (Knowledge Planet).