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Awesome AI Engineer Review
Awesome AI industry & research review.
- 2025 NVIDIA GTC Conference − Technical & Industrial Insight
- 2025 Agentic AI Summit Berkeley − Technical & Industrial Insight
Contents
- 1. NVIDIA GTC | AI Conference for Developers
- 2. Agentic AI Summit
- 3. LLM Essentials
- 4. DeepSeek & Kimi
- 5. 2025 Paper Reading
- SGLang x NVIDIA: Dynamo for Inference Performance at Scale
- Jason Wei: 3 Ideas to Understand AI in 2025
- World Model: 5 Debates Between Eric Xing's PAN & Yann LeCun’s JEPA
- 30 Takeaways from Shunyu Yao's Talk on Agentic AI
- Building Web Agents
- Future of AI Agents = Agentic RL + Pretraining?
- HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution
- 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
1. NVIDIA GTC | AI Conference for Developers
2. Agentic AI Summit
2025 Agentic AI Summit Berkeley − Technical & Industrial Insight
3. LLM Essentials
LLM Theory
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
LLM Applications
RAG
Educative: Advanced RAG Techniques - Choosing the Right Approach | Notes
Multi-Agent
Educative: Build AI Agents and Multi-Agent Systems with CrewAI | Notes
4. DeepSeek & Kimi
Research Implementation
Github: MiniGPT-and-DeepSeek-MLA-Multi-Head-Latent-Attention
DeepSeek Theory
Educative: Everything You Need to Know About DeepSeek | Notes
DeepSeek Applications
Kimi K2
5. 2025 Paper Reading
Frontier of Agentic AI: Agent Memory
🚀 Frontier of Agentic AI: Agent Memory — Key Takeaways | LinkedIn: 🚀 Frontier of Agentic AI: Agent Memory — Key Takeaways
SGLang x NVIDIA: Dynamo for Inference Performance at Scale
🚀 Insights from SGLang x NVIDIA: Dynamo for Inference Performance at Scale | LinkedIn: 🚀 Insights from sgl-project x NVIDIA: #Dynamo for Inference Performance at Scale
Jason Wei: 3 Ideas to Understand AI in 2025
Jason Wei: 3 Ideas to Understand AI in 2025 | LinkedIn: Jason Wei: 3 Ideas to Understand AI in 2025
World Model: 5 Debates Between Eric Xing's PAN & Yann LeCun’s JEPA
World Models | LinkedIn: World Model: 5 Debates Between Eric Xing's PAN & Yann LeCun’s JEPA
30 Takeaways from Shunyu Yao's Talk on Agentic AI
Shunyu Yao on Agentic AI | LinkedIn: 30 Takeaways from Shunyu Yao's Talk on Agentic AI
Building Web Agents
Future of AI Agents = Agentic RL + Pretraining?
Future of AI Agents = Agentic RL + Pretraining? | LinkedIn: Future of AI Agents = Agentic RL + Pretraining?
HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution
HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution | LinkedIn: Co-Evolutionary Path Towards Organizational Intelligence: How Structure-as-Memory Network & Multi-Agent Emergence Could Unlock AGI?
6. LangGraph & Cursor AI Projects
- 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
7. System Design
ByteByteGo - GenAI/ML/Modern System Design Interview
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 - GenAI/Modern System Design Interview
Educative - Grokking System Design Interview | PDF Notes | Markdown Notes
Educative - Grokking the Modern System Design Interview | Markdown Notes
8. Computer Systems
计算机底层的秘密，陆小风 - 2023，电子工业出版社
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
11. High-Frequency Finance
An Introduction to High-Frequency Finance, by Ramazan Gençay, et al.
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
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
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