This repository provides a comprehensive starter guide for newcomers to Data Management (DM) and Artificial Intelligence (AI), curated by the PKU-DAIR team. It aims to accelerate learning by consolidating core research papers and experience sharing, offering a solid technical foundation for students and researchers in these cutting-edge fields.

How It Works

The guide is structured into distinct research areas, each with curated links to foundational concepts, key papers, and practical advice. It covers AI Systems, AutoML, Databases (including AI4DB and Vector Databases), AI Agents, Data-Centric ML, Diffusion Models, AI for Science, and Graph Neural Networks. This modular approach allows users to focus on specific sub-fields while providing a broad overview of the AI and DM landscape.

Quick Start & Requirements

This repository is a documentation and resource hub. No installation or specific software requirements are needed to access the information. Users can navigate the structured documentation directly.

Highlighted Details

• Extensive coverage across multiple AI and Data Management sub-fields.
• Includes curated lists of seminal papers and practical advice for research.
• Detailed sections on emerging areas like AI Agents, Data-Centric ML, and Diffusion Models.
• Provides guidance on AI systems, including LLM and Diffusion model inference services.

Maintenance & Community

The repository is copyrighted by PKU-DAIR and last updated in 2025. No specific community links or active maintenance signals are provided in the README.

Licensing & Compatibility

The repository content is copyrighted by PKU-DAIR. All rights are reserved. No specific open-source license is mentioned, implying all rights are reserved and usage may be restricted.

Limitations & Caveats

The repository is a curated collection of resources and does not contain executable code. The copyright notice suggests all rights are reserved, which may limit reuse or commercial application without explicit permission. No community support channels or active development roadmap are indicated.