Markdown Tutorial
A simple example of a Markdown blog post.
Neural Networks from Scratch
The math, intuition, and code behind how neural networks actually learn — from a single neuron to a working training loop.
How to Use LLMs
A practical guide to using large language models — models, thinking, search, deep research, docs, code, agents, voice, vision, and memory.
How LLMs Actually Work
A visual, interactive guide to how large language models are built — from raw internet text to a conversational assistant. Based on Andrej Karpathy's technical deep dive.
自顶向下学习 zap 日志库
自顶向下阅读 zap 日志库源码——从 Logger 接口设计到 Core 实现，解析 zap 高性能日志的核心机制与最佳实践。
LLM Quant App & Design
The application architecture and design philosophy behind the LLM Quant platform — from data pipeline to user interface.
Quantitative Factor Analysis
Deep dive into quantitative factor analysis — factor construction, testing, and combination strategies enhanced by machine learning.