AI-LLM-ML-CS-Quant-Review

AI-LLM-ML-CS-Quant-Review

In-depth review of industry trends in AI, LLMs, Machine Learning, Computer Science, and Quantitative Finance.

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This repository provides an in-depth review of industry trends in AI, Large Language Models (LLMs), Machine Learning, Computer Science, and Quantitative Finance. It covers various topics such as NVIDIA GTC conferences, DeepSeek theory and applications, LangGraph & Cursor AI, LLM essentials, system design, computer systems, big data and AI in finance, C++ design patterns, high-frequency finance, machine learning for algorithmic trading, stochastic volatility modeling, and quant job interview questions.

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AI-LLM-ML-CS-Quant-Review

In-depth review of industry trends in AI, LLMs, Machine Learning, Computer Science, and Quantitative Finance.

Contents


1. NVIDIA GTC | AI Conference for Developers

2025 NVIDIA GTC Conference − Technical & Industrial Insight GitHub Stars

GTC 2024 Notes-Chinese

2. Agentic AI Summit

2025 Agentic AI Summit Berkeley − Technical & Industrial Insight GitHub Stars

3. LLM Essentials

LLM Theory

Dive into DeepSeek LLM, by Xiaojing Ding, 2025

Notes-Chinese

DeepSeek Large Model High-Performance Core Technology and Multimodal Fusion Development, by Xiaohua Wang, 2025

Notes-Chinese

Efficient Training in PyTorch, by Ailing Zhang, 2024

Notes-Chinese


Generative AI on AWS, by Chris Fregly, 2024

Notes-Chinese

LLM from Theory to Practice, by Qi Zhang, 2024

Notes-Chinese

LangChain Scalable LLM Apps, by Teli Li, 2024

Notes-Chinese


Foundations of LLMs - by Yuren Mao, Zhejiang University, 2024

Course Github | Course Video | Textbook | PDF Notes-Chinese

30 Essential Questions and Answers on Machine Learning and AI - by Sebastian Raschka, 2025

Notes-Chinese

Unveiling Large Model, by Liang Wen, 2025

Notes-Chinese


GeekBang: AI LLM Practice | Notes-Chinese

GeekBang: AI LLM System | Notes-Chinese

LLM Applications

GeekBang: AI LLM Project Implementation | Notes-Chinese

GeekBang: LLM App Developmenmt | Notes-Chinese

RAG

Educative: Advanced RAG Techniques - Choosing the Right Approach | Notes

GeekBang: RAG Development | Notes-Chinese

Multi-Agent

Educative: Build AI Agents and Multi-Agent Systems with CrewAI | Notes

GeekBang: AI Agents | Notes-Chinese

4. DeepSeek & Kimi

Research Implementation

Github: Mixture-of-Experts (MoE) Implementation in PyTorch

Github: MiniGPT-and-DeepSeek-MLA-Multi-Head-Latent-Attention

DeepSeek Theory

Educative: Everything You Need to Know About DeepSeek | Notes

Zomi-Bilibili | Github | Notes-Chinese

DeepSeek Applications

GeekBang: DeepSeek HandsOn | Notes-Chinese

GeekBang: DeepSeek App Development | Notes-Chinese

Kimi K2

Kimi K2 | 🚀 Understand Kimi K2 in 10 Minutes

5. 2025 Paper Reading

World Models | LinkedIn: World Model: 5 Debates Between Eric Xing's PAN & Yann LeCun’s JEPA

6. LangGraph & Cursor AI Projects

Notes

GitHub Projects

7. System Design

ByteByteGo - GenAI/ML/Modern System Design Interview

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

Book Link | PDF Notes-Chinese

Generative AI System Design Interview - by Ali Aminian, Hao Sheng, 2024

Book Link | Markdown Notes

Machine Learning System Design Interview - by Ali Aminian, Alex Xu, 2023

Book Link | Markdown Notes

Educative - GenAI/Modern System Design Interview

Educative - Grokking System Design Interview | PDF Notes | Markdown Notes

Educative - Grokking the Modern System Design Interview | Markdown Notes

Educative - GenAI System Design | Notes

8. Computer Systems

计算机底层的秘密,陆小风 - 2023,电子工业出版社

Book Link | PDF Notes-Chinese

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

BDAI Conference, 2024 Oct 3-5, UChicago

Abstract PDF | Agenda PDF | High Level Overview Notes PDF | Conference Review Notes PDF

10. 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 | PDF Notes | Markdown Notes

11. High-Frequency Finance

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

Book Link | PDF Notes | Markdown Notes

12. 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 | PDF Notes | Markdown Notes

13. Stochastic Volatility Modeling

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

Book Link | PDF Char 1 Intro | Markdown Char 1 Intro | PDF Char 2 Local Vol | Markdown Char 2 Local Vol

14. Quant Job Interview Questions

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

Book Link | Markdown Notes


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