This repository provides a curated list of significant AI and Data Science breakthroughs from 2022, aimed at researchers, engineers, and AI enthusiasts. It offers a structured overview of key papers, each accompanied by a concise video explanation, an in-depth article link, and code repositories where available, facilitating rapid understanding and exploration of cutting-edge AI advancements.

How It Works

The repository organizes papers by release date, presenting a chronological review of AI progress. Each entry links to external resources that provide a short video summary, a detailed article, and often the associated code or demo, enabling users to quickly grasp the core concepts and explore implementations.

Quick Start & Requirements

• Installation: No direct installation is required; this is a curated list of resources.
• Prerequisites: Access to the internet is needed to view the linked videos, articles, and code repositories. Specific paper implementations may have their own dependencies (e.g., Python, PyTorch, TensorFlow, GPUs).
• Resources: Browsing the list requires minimal resources. Individual paper implementations will vary.
• Links:
  • Full List
  • 2021 Review

Highlighted Details

• Covers 32 key AI papers from 2022, spanning image generation (DALL-E 2, Imagen, Stable Diffusion), language models (OPT, ChatGPT, Galactica), 3D rendering, and speech processing.
• Includes direct links to code repositories and demos for many papers, facilitating hands-on experimentation.
• Features concise video explanations for each paper, making complex topics accessible.
• Highlights ethical considerations, biases, governance, and transparency in AI research.

Maintenance & Community

• Maintained by louisfb01, who is active on YouTube and as a podcaster.
• Encourages community contributions via Twitter (@Whats_AI) and LinkedIn.
• Features a Discord community for discussion.
• Links to a newsletter for weekly AI updates.

Licensing & Compatibility

• The repository itself is not licensed for software distribution; it is a curated list.
• Individual papers and their associated code repositories will have their own licenses, which must be checked for compatibility with commercial or closed-source use.

Limitations & Caveats

• This repository is a snapshot of AI advancements in 2022 and does not include updates beyond that year.
• The availability and quality of linked code repositories and demos can vary.
• The "video explanation" quality and depth are subjective and depend on the linked content creator.