tuhinsharma121/ai-playground
I put all my exploration around AI in reproducible notebooks in this repository
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.
Stars
105
Forks
24
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 11, 2026
Commits (30d)
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