This repository provides an in-depth review of industry trends across AI, Large Language Models (LLMs), Machine Learning, Computer Science, and Quantitative Finance. It serves as a curated collection of insights, notes, and resources from key conferences, research papers, and educational materials, targeting professionals and researchers seeking to stay abreast of advancements in these rapidly evolving fields.

How It Works

The repository is structured thematically, covering major AI conferences like NVIDIA GTC and Agentic AI Summit, foundational LLM concepts (theory, RAG, multi-agent systems), specific research implementations (DeepSeek, LangGraph), system design principles for GenAI/ML, computer systems, and various aspects of quantitative finance including econometrics, C++ for derivatives pricing, high-frequency finance, machine learning for trading, and stochastic volatility modeling. It compiles notes, links to GitHub repositories, and relevant publications, offering a comprehensive overview of current industry knowledge and practical applications.

Quick Start & Requirements

No installation or specific requirements are mentioned as this is a curated review repository. Users can directly access and read the compiled information. Links to external resources, courses, and GitHub projects are provided within the README for deeper engagement.

Highlighted Details

• Comprehensive coverage of major AI and ML conferences, including NVIDIA GTC and Agentic AI Summit.
• Detailed notes on LLM essentials, RAG, multi-agent systems, and specific models like DeepSeek.
• Resources for system design interviews focusing on GenAI and ML.
• Extensive sections dedicated to quantitative finance topics, including trading strategies and derivatives pricing.

Maintenance & Community

The repository is maintained by junfanz1. Links to the author's GitHub, Resume, LinkedIn, X (formerly Twitter), Email, Instagram, Facebook, and Douban are provided for connection and potential community engagement.

Licensing & Compatibility

The repository itself does not appear to have a specific license mentioned. However, it links to numerous external resources, books, and GitHub projects, each with their own respective licenses. Users should verify the licensing terms of any linked content before use, especially for commercial applications.

Limitations & Caveats

The repository is a collection of notes and reviews, not a runnable codebase. The depth of information for each topic varies, and some notes are in Chinese. Users may need to consult the linked original sources for complete details or to resolve any ambiguities.