loveunk/deep-learning-llm-agent-notes resource

Health v2 · maintenance only

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Adoption not part of the score

2698 stars · 406 forks observed · 2026-08-28

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

A Chinese-language learning roadmap and knowledge repository covering machine learning, deep learning, and large language model engineering, organized as structured paths from beginner to LLM/Agent engineering. It includes Jupyter Notebook materials and curated guides on RAG, prompting, fine-tuning, tool calling, and agent productionization.

Use cases

• learn machine learning from scratch in 30 days
• roadmap to become an LLM engineer
• learn how to build RAG applications
• understand AI agent tool calling and workflows
• review deep learning fundamentals like CNN and RNN
• learn prompt engineering and fine-tuning with LoRA
• find a structured AI study path in Chinese

When to choose

• you want a curated, practice-first learning path for AI/ML and LLM engineering
• you prefer Chinese-language explanations and structured roadmaps
• you want to move from chatbot basics to agent systems with tool calling and guardrails

When to avoid

• you need production-ready software or a runnable framework rather than study notes
• you need English-language or formally peer-reviewed course material
• you require a licensed or citable resource, since the repo has no license

Facets

learning-resource · maturity active

documentation developer-tools machine-learning deep-learning large-language-models tutorials python cross-platform learning-roadmap chinese-language jupyter-notebooks llm-engineering study-guide rag prompt-engineering fine-tuning retrieval-augmented-generation ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="loveunk/deep-learning-llm-agent-notes")