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TranslatedMainly records knowledge and interview questions related to large language model (LLMs) algorithm (application) engineers
TranslatedAI Agent Development Guide | Agent Harness | Context Engineering | Advanced RAG | MCP | Agentic RL Reinforcement Learning | LangGraph in Practice | 12,000+ Large Model Interview Questions | Job Hunting for Algorithm / Development Roles | Switching Careers to Large Models
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
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
Translated🚀 The most systematic crash course on AI Agents in 2026 | Agent hands-on tutorial · Complete learning path + hands-on projects + interview question bank · Aligned with LLM application development engineer job roles · Covers LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompts · Enterprise-grade deployment and fine-tuning · From 0 to enterprise-level implementation + from learning to launching projects + interview preparation, all in one
- agent
- aigc
- coze
- dify
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.
AI system design guide for engineers building production AI systems and evals.
- agentic-ai
- agentic-workflow
- artificial-intelligence
- aws
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
算法工程师(人工智能CV方向)面试问题及相关资料
Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.
- ai
- ai-engineering
- ai-interview
- ai-interview-questions
TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.
- agent
- large-language-models
- llm
- llm-learning