The brief introduction to my Blog. If you are new here, why not have a look?

Automated Note CI/CD Build with a Custom Rust Crate for Efficient Command-Line Note Management

Tutorials for reinforcement learning, and the basic introduction of markov decision process.

Lecture notes for online courses launched by deeplearningai, focusing on advanced online RL training techniques and practices about LLM post-training methodology, including PPO and GRPO.

Quick tmux memo and mysterious product teaser :).

Lecture Notes for CS224n, focusing on current bottleneck for LLM evaluations and several shallow thoughts of the new blog proposed by Shunyu Yao: We are on the second half.

Advanced functional programming techniques in Rust, including closures to capture variables in outer scope and iterators.

Tutorials for probability theory.

Advanced functional programming techniques in Rust, including closures to capture variables in outer scope and iterators.

A simple, grep-like command-line tool written in Rust. It allows you to search for a specific string pattern within a text file. More capabilities will be added in the future.

Generic types, traits, and lifetimes are Rust's core concepts for writing flexible and safe code. This blog introduces several ways to write advanced reusable generic codes, including using trait and

Exception Handling for Rust, including the usage of panic! macro (fail fast) and Result (fail quickly).

Introduction of several efficient data structures named collections for Rust, including vector, string and hashmap. Detailed APIs and usage codes are included in this blog.

In Rust, packages organize crates, which are the smallest compilation units. Modules within a crate create a hierarchical structure, managing code with visibility and privacy to promote reusability.

Lecture Notes for CS224n, focusing on several techniques of post-training, including in-context learning, RLHF training via reinforcement learning and DPO optimization.

Focusing on several techniques of pre-training: traditional word2vec model, and several pre-training architectures, including encoder-only MLM like BERT, encoder-decoder like T5 and spam corruption an

This article dives into Rust's structs and enums as class alternatives, defining structs, methods, and derived traits and explaining how enums model exclusive states via matching and control flow.

This Blog focuses on the ownership of Rust, including the memory management and ownership law in Rust, with several methods of copying, shallowing and removing. The the blog introduces reference and b

Basic concepts of Rust programming language, including variables, data types, functions and control expressions.(while, if, loop, etc). Rust is a programming based on expressions.

Introduction and future planning of learning rust programming language for the enhancement.

Lecture Notes for CS336, Lecture 3.2 Hyperparameters for transformers.

Lecture Notes for CS336, Lecture 3.1 Architectures for transformers, focusing on various optimizations. This blog introduces different variations of transformer architecture, including layernorm, acti

Recordings for my first year in the world of programmings, about the story of setbacks, perseverance and triumph.

ToolZoo: The integrated zoo toolbox for all kinds of hand-made stuff, including Blog & Community, learning tutorials, projects and efficient tools.

Transcripts and Comments for the celebrity speech: Andrew Ng: Building Faster with AI, discussing the future of Agentic AI and ai-assisted software development.

Transcripts and Comments for the celebrity speech: The new code delivered by Sean Grove from OpenAI and a brief introduction to specification in code and Model Spec launched by OpenAI.

The advanced introduction to Git, including a memo for most frequently used git command, and the explanation of Version Control Philosophy and Joint Development.

Lecture Notes for CS336: Lecture 2 Pytorch and Resource Accounting, as a part of tutorial for LLM Learning Plan as well.

Lecture Notes for CS336: Lecture 1 Overview and Tokenization, as a part of tutorial for LLM Learning Plan as well.

The introduction and explanation for the Basic Neural Network Transformer.