MA/01

Generative AI / Case study

Generative AI & LLM Learning Lab

An evolving notebook repository for practical Generative AI, large-language-model, and RAG learning exercises.

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Problem

Develop hands-on familiarity with modern Generative AI concepts through small, inspectable experiments.

Solution

Organizes learning work around LLMs and retrieval-augmented generation in a focused Jupyter Notebook repository.

Architecture

Learning notebooks and experiments; detailed architecture will be added when documented in the repository.

Technical implementation

The public repository currently describes its scope as learning Generative AI, LLMs, and RAG. No unsupported implementation claims are added here.

Key challenges

In progress.

Lessons learned

In progress.