The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
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Classical equations and diagrams in machine learning
Repo to accompany my mastering LLM engineering course
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
TranslatedFoundations of Large Models: understand the basic knowledge of large models in one article
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
TranslatedLarge language model knowledge sharing that everyone can understand, a must-read before LLM spring/autumn recruitment interviews, so you can talk confidently with interviewers
- llm
- interview-questions
- interview-practice
- agent
Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
TranslatedOpen-source manuscript of 《深入理解 AI Infra：量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
- accelerator
- ai-infra
- ai-infrastructure
- book
This Repository Contain All the Artificial Intelligence Projects such as Machine Learning, Deep Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.
- computer-vision-projects
- deep-learning-projects
- machine-learning-projects
- machinelearningprojects
A log of things I'm learning
- learning-resources
- deep-learning
- machine-learning
- python
Ultimate DevSecOps library
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
- chain-of-thought
- coding
- llm
- mathematics
TranslatedE-book "Large Models and Agents" (《大模型与智能体》) with 6 programming tasks: Transformer, mini-GPT, SFT/DPO, RAG, tool calling, and coding agents.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
A list of (almost) all headless web browsers in existence
- testing
- browser
- automation
- headless-browsers
A curated list of GPT agents for cybersecurity
TranslatedChinese large language models
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
- chatgpt
- chatgpt-api
- few-shot-learning
- gpt
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
- agentic-coding
- ai-assistant
- ai-coding
- ai-pair-programming
Tutorials, Guides and Agent Skills Directories
- agent-skills
- ai-agents
- ai-development
- anthropic
This repo collects awesome AI tools. Welcome everyone to recommend more awesome AI tools together!
Learn AI and LLMs from scratch using free resources
TranslatedA continuously maintained website of enterprise interview questions to help you get a satisfying offer! ⭐️ The latest 2026 Java interview questions, front-end interview questions, AI large model interview questions, AI Agent interview questions, RAG interview questions, C++ interview questions, Go interview questions, Python interview questions, testing interview questions, operations interview questions, back-end interview questions, operating system interview questions, computer network interview questions, Redis interview questions, MySQL database interview questions, algorithm interview questions, Spring interview questions, JVM interview questions, Java concurrency interview questions, Linux interview questions, LLM interview questions, prompt engineering interview questions, system design interview questions, and more: over 10,000 high-frequency standard interview questions (八股文) that programmers need when job hunting. For interview practice, choose 面试鸭 (Mianshiya, "Interview Duck") 💎 A full-stack project with React front end + Node back end + cloud development, by 程序员鱼皮 (Programmer Yupi)
- java
- python
- javascript
- algorithm