
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.
README:
In-depth review of industry trends in AI, LLMs, Machine Learning, Computer Science, and Quantitative Finance.
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2025 NVIDIA GTC Conference − Technical & Industrial Insight
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2025 Agentic AI Summit Berkeley − Technical & Industrial Insight
- 1. NVIDIA GTC | AI Conference for Developers
- 2. Agentic AI Summit
- 3. LLM Essentials
- 4. DeepSeek & Kimi
- 5. 2025 Paper Reading
- 6. LangGraph & Cursor AI Projects
- 7. System Design
- 8. Computer Systems
- 9. Big Data and AI in Finance, Econometrics and Statistics Conference, UChicago 2024
- 10. C++ Design Patterns and Derivatives Pricing
- 11. High-Frequency Finance
- 12. Machine Learning for Algorithmic Trading
- 13. Stochastic Volatility Modeling
- 14. Quant Job Interview Questions
2025 Agentic AI Summit Berkeley − Technical & Industrial Insight
Dive into DeepSeek LLM, by Xiaojing Ding, 2025
DeepSeek Large Model High-Performance Core Technology and Multimodal Fusion Development, by Xiaohua Wang, 2025
Efficient Training in PyTorch, by Ailing Zhang, 2024
Generative AI on AWS, by Chris Fregly, 2024
LLM from Theory to Practice, by Qi Zhang, 2024
LangChain Scalable LLM Apps, by Teli Li, 2024
Foundations of LLMs - by Yuren Mao, Zhejiang University, 2024
30 Essential Questions and Answers on Machine Learning and AI - by Sebastian Raschka, 2025
Unveiling Large Model, by Liang Wen, 2025
Educative: Advanced RAG Techniques - Choosing the Right Approach | Notes
Educative: Build AI Agents and Multi-Agent Systems with CrewAI | Notes
Github: MiniGPT-and-DeepSeek-MLA-Multi-Head-Latent-Attention
Educative: Everything You Need to Know About DeepSeek | Notes
World Models | LinkedIn: World Model: 5 Debates Between Eric Xing's PAN & Yann LeCun’s JEPA
- Ed Donner: LLM Engineering: Master AI, Large Language Models & Agents
- Eden Marco: LangChain-Develop LLM powered applications with LangChain
- Eden Marco: LangGraph-Develop LLM powered AI agents with LangGraph
- Eden Marco: Cursor Course: FullStack development with Cursor AI Copilot
GitHub Projects
- MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-System
- Code-Interpreter-ReAct-LangChain-Agent
- LLM-Documentation-Chatbot
- Cognito-LangGraph-RAG
- LangGraph-Reflection-Researcher
- Cursor-FullStack-AI-App
System Design Interview, An Insider's Guide, Second Edition - by Alex Xu, 2020
Generative AI System Design Interview - by Ali Aminian, Hao Sheng, 2024
Machine Learning System Design Interview - by Ali Aminian, Alex Xu, 2023
Educative - Grokking System Design Interview | PDF Notes | Markdown Notes
Educative - Grokking the Modern System Design Interview | Markdown Notes
计算机底层的秘密,陆小风 - 2023,电子工业出版社
BDAI Conference, 2024 Oct 3-5, UChicago
Abstract PDF | Agenda PDF | High Level Overview Notes PDF | Conference Review Notes PDF
C++ Design Patterns and Derivatives Pricing (Mathematics, Finance and Risk, Series Number 2) 2nd Edition, by M. S. Joshi
An Introduction to High-Frequency Finance, by Ramazan Gençay, et al.
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
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
Quant Job Interview Questions and Answers (Second Edition) – by Mark Joshi 2013
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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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