There is some knowledge that I find interesting and often come across, but I only have a superficial understanding of it. So I have made up my mind to master it. I think a good way to master knowledge is to write a tutorial, so that people who don't know about it can have a considerable understanding after reading the tutorial. It's said that teaching is learning. And because I know so little about it and it's difficult to write a dedicated article about it, I will record it here as a memo.
When surfing the internet, either actively or passively, I often come across content that interests me. Sometimes the content is deep, sometimes it gives me some thoughts. Often, I choose not to close them, thinking that I will take the time to read them carefully and record my thoughts. And then... usually there is no "and then". This is not a good thing. So I thought about recording it here, which can be considered as a kind of supervision for myself, or "Learn In Public".
Cryptocurrency#
Encryption#
Interpreter#
GPT#
- ViperGPT: Visual Inference via Python Execution for Reasoning
- Generative Agents: Interactive Simulacra of Human Behavior
Diffusion#
Neural Networks#
- [Dry Goods] In-depth and Simple LSTM and Its Python Code Implementation
- A Shallow Introduction to Neural Networks: From Neurons to Deep Learning
Blog#
- Reflections After Attending Fang Binxing's Lecture on the Great Firewall
- Why Can't You Keep Writing Blogs
- JS Exploration: Adding a Snake Heatmap to the Blog Homepage
- What You Love Is Your Life
- Translation: Local-first Software
- Knowledge Not Taught in MIT Computer Science Classes