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Overview notes on AI/LLM, Machine Learning, Computer Science, Quant Finance
https://github.com/junfanz1/ai-llm-ml-cs-quant-overview

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Overview notes on AI/LLM, Machine Learning, Computer Science, Quant Finance

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# AI-LLM-ML-CS-Quant-Overview
Overview notes on AI, LLM, Machine Learning, Computer Science & Quant Finance.


## Contents

- [1. LangGraph & Cursor AI](#1-langgraph-cursor-ai)
- [2. DeepSeek ](#2-deepseek)
* [MoE (Mixture of Experts)](#moe-mixture-of-experts)
* [DeepSeek Theory](#deepseek-theory)
* [DeepSeek Applications](#deepseek-applications)
- [3. NVIDIA GTC | AI Conference for Developers](#3-nvidia-gtc-ai-conference-for-developers)
- [4. LLM Essentials](#4-llm-essentials)
* [AI Systems](#ai-systems)
* [LLM Applications](#llm-applications)
* [RAG](#rag)
* [Multi-Agent Systems](#multi-agent-systems)
* [Cheat Sheet](#cheat-sheet)
- [5. LLM Foundations ](#5-llm-foundations)
- [6. System Design](#6-system-design)
* [System Design Interview](#system-design-interview)
* [Educative Grokking System Design](#educative-grokking-system-design)
* [GenAI System Design](#genai-system-design)
- [7. Computer Systems](#7-computer-systems)
- [8. Big Data and AI in Finance, Econometrics and Statistics Conference, UChicago 2024](#8-big-data-and-ai-in-finance-econometrics-and-statistics-conference-uchicago-2024)
- [9. C++ Design Patterns and Derivatives Pricing](#9-c-design-patterns-and-derivatives-pricing)
- [10. High-Frequency Finance](#10-high-frequency-finance)
- [11. Machine Learning for Algorithmic Trading](#11-machine-learning-for-algorithmic-trading)
- [12. Stochastic Volatility Modeling](#12-stochastic-volatility-modeling)
- [13. Quant Job Interview Questions](#13-quant-job-interview-questions)
- [100. Distributed Systems](#100-distributed-systems)
- [101. Language Models](#101-language-models)
- [102. Designing Machine Learning Systems](#102-designing-machine-learning-systems)
- [103. Designing Data-Intensive Applications (DDIA)](#103-designing-data-intensive-applications-ddia)
- [104. Distributed Machine Learning](#104-distributed-machine-learning)
- [105. The Elements of Quantitative Investing](#105-the-elements-of-quantitative-investing)

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=junfanz1/AI-LLM-ML-CS-Quant-Readings&type=Date)](https://www.star-history.com/#junfanz1/AI-LLM-ML-CS-Quant-Readings&Date)


# 1. LangGraph & Cursor AI

> [__Notes__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/LangChain/Projects.md)
- [Ed Donner: LLM Engineering: Master AI, Large Language Models & Agents](https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models)
- [Eden Marco: LangChain-Develop LLM powered applications with LangChain](https://www.udemy.com/course/langchain/)
- [Eden Marco: LangGraph-Develop LLM powered AI agents with LangGraph](https://www.udemy.com/course/langgraph)
- [Eden Marco: Cursor Course: FullStack development with Cursor AI Copilot](https://www.udemy.com/course/cursor-ai-ide/)




> GitHub Projects
- [Code-Interpreter-ReAct-LangChain-Agent](https://github.com/junfanz1/Code-Interpreter-ReAct-LangChain-Agent)
- [LLM-Documentation-Chatbot](https://github.com/junfanz1/LLM-Documentation-Chatbot)
- [Cognito-LangGraph-RAG](https://github.com/junfanz1/Cognito-LangGraph-RAG)
- [LangGraph-Reflection-Researcher](https://github.com/junfanz1/LangGraph-Reflection-Researcher)
- [Cursor-FullStack-AI-App](https://github.com/junfanz1/Cursor-FullStack-AI-App)


# 2. DeepSeek


## MoE (Mixture of Experts)

> [Github: Mixture-of-Experts (MoE) Implementation in PyTorch](https://github.com/junfanz1/MoE-Mixture-of-Experts)


## DeepSeek Theory

> [Educative: Everything You Need to Know About DeepSeek](https://www.educative.io/verify-certificate/GZjlABCqZ1G2n7mWjuroy1MXK2GBIm) | [__Notes__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/DeepSeek/DeepSeek%20Essentials.md)

> [Zomi酱-Bilibili](https://space.bilibili.com/517221395/upload/video) | [Github](https://github.com/chenzomi12/AIFoundation/) | [__Notes-Chinese__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/DeepSeek/DeepSeek%20Theory.md)


## DeepSeek Applications

> [GeekBang: DeepSeek HandsOn](https://time.geekbang.org/column/101000501) | [__Notes-Chinese__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/DeepSeek/DeepSeek%20HandsOn.md)

> [GeekBang: DeepSeek App Development](https://time.geekbang.org/column/intro/100995901) | [__Notes-Chinese__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/DeepSeek/DeepSeek%20Developer%20Practice.md)


# 3. NVIDIA GTC | AI Conference for Developers

![image](https://github.com/user-attachments/assets/73e41194-64af-45ad-9d1b-6e7f61f49f4a)

> [__GTC 2024 Notes-Chinese__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/NVIDIA%20GTC/GTC%202024.md)

> [__GTC 2025 Notes__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/NVIDIA%20GTC/GTC%202025.md)


# 4. LLM Essentials


## AI Systems

> [GeekBang: AI LLM Practice](https://time.geekbang.org/column/intro/100770601) | [__Notes-Chinese__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/AI%20LLM/AI%20LLM%20Practice.md)

> [GeekBang: AI LLM System](https://time.geekbang.org/column/article/852628) | [__Notes-Chinese__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/AI%20LLM/AI%20System.md)


## LLM Applications

> [GeekBang: AI LLM Project Implementation](https://time.geekbang.org/column/article/801454) | [__Notes-Chinese__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/AI%20LLM/LLM%20Project.md)

> [GeekBang: LLM App Developmenmt](https://time.geekbang.org/column/intro/100764201) | [__Notes-Chinese__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/AI%20LLM/LLM%20App.md)


## RAG

> [Educative: Advanced RAG Techniques - Choosing the Right Approach](https://www.educative.io/verify-certificate/pg03nJFvpmPgN4W0Zuxy07pVPro3h2) | [__Notes__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/AI%20LLM/Advanced%20RAG.md)

> [GeekBang: RAG Development](https://time.geekbang.org/column/intro/100804101?tab=catalog) | [__Notes-Chinese__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/edit/main/AI%20LLM/RAG.md)


## Multi-Agent Systems

> [Educative: Build AI Agents and Multi-Agent Systems with CrewAI](https://www.educative.io/verify-certificate/k5m3gACoj1xDYoOq7c0Kjk4y2AoGTn) | [__Notes__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/AI%20LLM/CrewAI.md)

> [GeekBang: AI Agents](https://time.geekbang.org/course/intro/100775901?tab=catalog) | [__Notes-Chinese__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/AI%20LLM/AI%20Agent.md)


## Cheat Sheet

> [__Notes-Chinese__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/tree/main/AI%20LLM)


# 5. LLM Foundations

大模型基础,毛玉仁等 - 2024,浙大

> [Course Github](https://github.com/ZJU-LLMs/Foundations-of-LLMs) | [Course Video](https://www.bilibili.com/video/BV1PB6XYFET2) | [Textbook](https://github.com/ZJU-LLMs/Foundations-of-LLMs/blob/main/%E3%80%8A%E5%A4%A7%E6%A8%A1%E5%9E%8B%E5%9F%BA%E7%A1%80%E3%80%8B%E6%95%99%E6%9D%90/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E5%9F%BA%E7%A1%80%20%E5%AE%8C%E6%95%B4%E7%89%88.pdf) | [__PDF Notes-Chinese__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/Foundations%20of%20LLMs/%E6%B5%99%E5%A4%A7%E5%A4%A7%E6%A8%A1%E5%9E%8B%E8%AF%BE%E7%AC%94%E8%AE%B0.pdf)


# 6. System Design


## System Design Interview

System Design Interview, An Insider's Guide, Second Edition - by Alex Xu 2020

> [Book Link](https://www.amazon.com/System-Design-Interview-insiders-Second/dp/B08CMF2CQF) | [__PDF Notes-Chinese__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/System%20Design/Notes%20on%20System%20Design.pdf)


## Educative Grokking System Design

> [Educative - System Design Interview](https://www.educative.io/verify-certificate/B86jYxWPP3JhA8lAZw0B2Mhr92YjJNmG5Ty) | [__PDF Notes__](https://github.com/junfanz1/CS-Online-Course-Notes/blob/main/Grokking%20the%20System%20Design%20Interview/Grokking%20the%20System%20Design%20Interview.pdf) | [__Markdown Notes__](https://github.com/junfanz1/CS-Online-Course-Notes/blob/main/Grokking%20the%20System%20Design%20Interview/Grokking%20the%20System%20Design%20Interview.md)


## GenAI System Design

> [Educative - GenAI System Design](https://www.educative.io/verify-certificate/RgxzXQFQkKyYgKrGjTX1RQpE9J3vT6) | [__Notes__](https://github.com/junfanz1/AI-LLM-ML-CS-Quant-Readings/blob/main/System%20Design/GenAI%20System%20Design.md)


# 7. Computer Systems

计算机底层的秘密,陆小风 - 2023,电子工业出版社

> [Book Link](https://book.douban.com/subject/36370606/) | [__PDF Notes-Chinese__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Computer%20Systems/Notes%20on%20Computer%20Systems%20-%20Chinese.pdf)

![image](https://github.com/user-attachments/assets/5d41a90f-1188-42d2-9a08-b5b3efc33130)


# 8. Big Data and AI in Finance, Econometrics and Statistics Conference, UChicago 2024

BDAI Conference, 2024 Oct 3-5, UChicago

> [Abstract PDF](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Big%20Data%20AI%20in%20Finance%2C%20Econometrics%2C%20Statistics%20Conference%202024/BDAI-2024%20Abstracts.pdf) | [Agenda PDF](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Big%20Data%20AI%20in%20Finance%2C%20Econometrics%2C%20Statistics%20Conference%202024/BDAI-2024%20Program.pdf)

- [__High Level Overview Notes PDF__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Big%20Data%20AI%20in%20Finance%2C%20Econometrics%2C%20Statistics%20Conference%202024/Big_Data_Finance_Conference_High_Level_Overview.pdf) | [__Conference Review Notes PDF__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Big%20Data%20AI%20in%20Finance%2C%20Econometrics%2C%20Statistics%20Conference%202024/Big_Data_Finance_Conference_Notes.pdf)


# 9. C++ Design Patterns and Derivatives Pricing

C++ Design Patterns and Derivatives Pricing (Mathematics, Finance and Risk, Series Number 2) 2nd Edition, by M. S. Joshi

> [Book Link](https://www.amazon.com/Patterns-Derivatives-Pricing-Mathematics-Finance/dp/0521721628) | [__PDF Notes__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/C%2B%2B%20Design%20Patterns%20Derivatives%20Pricing/C%2B%2B%20Design%20Patterns%20Derivatives%20Pricing.pdf) | [__Markdown Notes__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/C%2B%2B%20Design%20Patterns%20Derivatives%20Pricing/C%2B%2B%20Design%20Patterns%20Derivatives%20Pricing.md)


# 10. High-Frequency Finance

An Introduction to High-Frequency Finance, by Ramazan Gençay, et al.

> [Book Link](https://www.amazon.com/Introduction-High-Frequency-Finance-Ramazan-Gen%C3%A7ay/dp/0122796713) | [__PDF Notes__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/An%20Intro%20to%20High-Frequency%20Finance/Notes%20on%20An%20Introduction%20to%20High-Frequency%20Finance.pdf) | [__Markdown Notes__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/An%20Intro%20to%20High-Frequency%20Finance/An%20Introduction%20to%20High-Frequency%20Financ.md)


# 11. Machine Learning for Algorithmic Trading

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition Paperback – by Stefan Jansen 2020

> [Book Link](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715) | [__PDF Notes__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/ML%20for%20Algorithmic%20Trading/Notes%20on%20Machine%20Learning%20for%20Algorithmic%20Trading.pdf) | [__Markdown Notes__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/ML%20for%20Algorithmic%20Trading/Notes%20on%20Machine%20Learning%20for%20Algorithmic%20Trading.md)


# 12. Stochastic Volatility Modeling

Stochastic Volatility Modeling (Chapman and Hall/CRC Financial Mathematics Series) 1st Edition, by Lorenzo Bergomi

> [Book Link](https://www.amazon.com/Stochastic-Volatility-Modeling-Financial-Mathematics/dp/1482244063)

- [__PDF Char 1 Intro__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Stochastic%20Volatility%20Modeling/Stochastic%20Volatility%20Modeling%20-%20Char%201%20Introduction%20Notes.pdf) | [__Markdown Char 1 Intro__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Stochastic%20Volatility%20Modeling/Stochastic%20Volatility%20Modeling%20-%20Char%201%20Introduction%20Notes.md)

- [__PDF Char 2 Local Vol__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Stochastic%20Volatility%20Modeling/Stochastic%20Volatility%20Modeling%20-%20Char%202%20Local%20Volatility%20Notes.pdf) | [__Markdown Char 2 Local Vol__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Stochastic%20Volatility%20Modeling/Stochastic%20Volatility%20Modeling%20-%20Char%202%20Local%20Volatility%20Notes.md)


# 13. Quant Job Interview Questions

Quant Job Interview Questions and Answers (Second Edition) – by Mark Joshi 2013

> [Book Link](https://www.amazon.com/Quant-Interview-Questions-Answers-Second/dp/0987122827)

- [__Markdown Notes__](https://github.com/junfanz1/Quant-Books-Notes/blob/main/Quant%20Job%20Interview%20Q%26A/Quant%20Essentials%20Takeaways.md)

- [__Cloud Platform PDF Notes__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/Quant%20Job%20Interview%20Q%26A/Cloud.pdf)

- [__Quant PDF Notes__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/Quant%20Job%20Interview%20Q%26A/Quant.pdf)

- [__FX Exotic Derivatives PDF Notes__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/Quant%20Job%20Interview%20Q%26A/FX%20Exotic%20Derivatives.pdf)

- [__Risk Methodologies PDF Notes__](https://github.com/junfanz1/AI-ML-CS-Quant-Readings/blob/main/Quant%20Job%20Interview%20Q%26A/Risk%20Methodologies.pdf)

---

Connect me:
[LinkedIn](https://www.linkedin.com/in/junfan-zhu/)

Leave a message to me:
[junfanzhu98@gmail.com](mailto:junfanzhu98@gmail.com)

---

Future Readings:


# 100. Distributed Systems

深入理解分布式系统,唐伟志 - 2022,电子工业出版社

> [Book Link](https://book.douban.com/subject/35794814/)


# 101. Language Models

预训练语言模型,邵浩 刘一烽 - 2021,电子工业出版社

> [Book Link](https://book.douban.com/subject/35458428/)


# 102. Designing Machine Learning Systems

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications - by Chip Huyen

> [Book Link](https://www.amazon.com/Designing-Machine-Learning-Systems-Production-Ready/dp/1098107969)


# 103. Designing Data-Intensive Applications (DDIA)

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Book - by Martin Kleppmann

> [Book Link](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321)


# 104. Distributed Machine Learning

分布式机器学习,刘铁岩等 - 2018,机械工业出版社

> [Book Link](https://book.douban.com/subject/30360968/)


# 105. The Elements of Quantitative Investing

The Elements of Quantitative Investing - by Giuseppe Paleologo 2025

> [Book Link](https://booksonfirst.com/book/9781394265459)