shaheennabi/Generative-AI-Practices-and-Mini-Projects
Generative AI Practices and Mini-Projects: A hands-on repository for Generative AI mini-projects! Explore model building, fine-tuning, and RAG techniques. Includes experiments with open-source models like LLaMA and Gemma, plus deployments using OpenAI and Google Gemini APIs.
This repository provides hands-on code examples and mini-projects for building and experimenting with Generative AI applications. It offers practical ways to explore techniques like fine-tuning large language models, creating intelligent retrieval-augmented generation (RAG) systems, and developing AI agents. This is for individuals who want to learn how to build, adapt, and deploy GenAI solutions, from foundational concepts to advanced implementations.
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Use this if you are a developer, researcher, or student looking for practical code examples and mini-projects to learn and experiment with Generative AI concepts and build your own applications.
Not ideal if you are looking for a finished, ready-to-use GenAI application or a high-level overview without getting into the code.
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Last pushed
Jun 12, 2025
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