LLMRepos·Interview Prep LLM projects

LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

Comprehensive ML/AI interview codex with iterative system design, production-ready code, and 2026 standards. Includes LLM/GenAI, RAG systems, agentic AI, and algorithms from scratch.

36章AI Agent全栈课程：从ReAct循环到Claude Code逆向、MCP/A2A协议、RAG、DSPy、生产可观测性——全部为可运行Python文件，面试导向。

AI Agent 工程师面试资料库 - 国内大厂面经、岗位要求、高频面试题

10x your AI Architect journey: plain‑language, guides that blend AI engineering + solution architecture.

🤖 AI 工程师的成长手册：从基础知识到 RAG、Agent 实战，涵盖学习路径与高频面试题。

A complete collection of RAG interview questions, answers (548 questions & 41 RAG types), system design scenarios, architecture patterns, and production-ready concepts.

Visual knowledge bank for understanding large language models, with 180 concept cards from tokenization to deployment.