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AI Tutorials

A concise collection of hands‑on AI tutorials and references for common tooling and workflows.

Quick start

  1. Clone:
git clone https://github.com/GDGoC-SUP-COM/AI-tutorials-resources.git
  1. Install: python -m venv .venv && .venv\Scripts\activate (or source .venv/bin/activate)
    pip install -r requirements.txt
  2. Open the tutorial folder and run the Jupyter notebooks or scripts.

Topics

  • PyTorch — basics and model training
  • LangChain — building LLM pipelines
  • LlamaIndex — document indexing and retrieval
  • RAG with Qdrant — vector search + retrieval-augmented generation

Structure

Each tutorial lives in its own folder with a README, notebooks, and example data. Follow folder README for usage.

Contributing

Contributions welcome. Add tutorials as new folders, include a short README, example code, and tests/examples. Open a PR.

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A collection of some AI Tutorials

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