tuhinsharma121/ai-playground

I put all my exploration around AI in reproducible notebooks in this repository

55
/ 100
Established

This project helps AI developers and researchers explore and implement various advanced AI techniques, particularly in Retrieval-Augmented Generation (RAG). It provides ready-to-use code examples and explanations from articles and talks, showing how to build systems that can answer questions using external knowledge. The output is reproducible code in Jupyter notebooks that demonstrates how to implement these AI solutions.

105 stars.

Use this if you are an AI developer or researcher looking for practical, reproducible examples to understand and implement various RAG architectures, fine-tune embedding models, or explore federated learning and AI content moderation.

Not ideal if you are an end-user seeking a ready-made application for a specific task without any coding or AI development involvement.

AI development natural language processing information retrieval machine learning research knowledge representation
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

105

Forks

24

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Feb 11, 2026

Commits (30d)

0

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