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luhengshiwo/LLMForEverybody

A comprehensive Chinese-language educational resource and interview preparation guide covering LLMs, AI agents, and RAG systems.

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This repository provides structured learning materials for understanding large language models, targeted at Chinese-speaking developers preparing for LLM-related job interviews. Content spans AI agents, RAG knowledge bases, model fine-tuning, and LLM application development. The materials cover popular toolchains including LangChain, LlamaIndex, Dify, and MCP, along with systematic paper reading from the Transformer onward. It directs users to a commercial course platform at learnllm.ai.

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