fufankeji/LLMs-Technology-Community-Beyondata resource

Health v2 · maintenance only

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Adoption not part of the score

1009 stars · 160 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Chinese-language LLM technology community repository offering full-pipeline tutorials for large language models, covering environment setup, local deployment, efficient fine-tuning, RAG, Agent development, and MCP tools. Content is hosted as linked guides (mostly on Feishu wiki) targeting learners from beginner to enterprise-level project practice.

Use cases

• learn how to deploy open-source LLMs locally
• fine-tune models like Qwen3 or GPT-OSS
• build RAG systems with multimodal PDF retrieval
• get started with LangChain and LangGraph for agent development
• deploy and use MCP tools for AI agents
• find structured LLM learning path from beginner to enterprise projects

When to choose

• you want curated, step-by-step Chinese-language LLM tutorials
• you need guidance spanning deployment, fine-tuning, RAG, and agents in one place
• you are a beginner transitioning into LLM development

When to avoid

• you need runnable production software rather than tutorial links
• you require English-language documentation
• you want an MIT/Apache-licensed codebase (no license is provided)

Facets

learning-resource · maturity active

llm-inference llm-training rag agent-framework mcp prompt-engineering large-language-models tutorials artificial-intelligence python cross-platform llm-tutorials fine-tuning langchain langgraph dify local-deployment chinese-language community ai-agents retrieval-augmented-generation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="fufankeji/LLMs-Technology-Community-Beyondata")