Why This Page in the Era of LLM Agents?
Nowadays, with the help of Code-Agent such as Claude Code, Codex, and so on. It is easier than ever to implement the code of the research papers. However, during my study and work, I found this kind of methods is in-efficient and not effective. It might take 10 minutes for code agent to generate the replace the code but we can learn nothing from it. In contrast, if we read the paper and implement the code by hands, we can learn a lot and deeply understand the paper. So I decide to write this 100 AI Papers with Code Series to share my learning experience and help others to learn the papers by hands.
Who this page is for?
This page is for anyone who is interested in learning about the latest research in artificial intelligence. Whether you are
- an undergraduate student,
- a graduate student,
- a researcher,
- or just an AI enthusiast,
you will find something of value in this page.
Who this page is NOT for?
This page is NOT for people looking for flashy AI applications or quick demos.
Most of the content focuses on:
- model architectures,
- algorithms,
- training methods,
- optimization,
- and system design,
rather than AI products or application-level tutorials.
If you are mainly interested in AI applications, there are probably better resources available elsewhere.
WARNING: Chinese version
Due to limited time and energy, most of the content will be written in Chinese for now. If you are interested in helping translate the articles into other languages, please feel free to contact me. Any help is greatly appreciated.
