Gen-AI-Experiments

A comprehensive collection of hands-on experiments in Generative AI.
Master LLMs, AI Agents, RAG, and more with practical, open-source examples.

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🚀 Welcome to Gen-AI-Experiments!

This repository is your ultimate launchpad for diving into the world of Generative AI. Whether you're a beginner taking your first steps or an experienced practitioner, these hands-on experiments are designed to enhance your skills and deepen your understanding of the latest AI technologies.

✨ Key Features

• Learn by Doing: Practical Jupyter notebooks that you can run, modify, and learn from.
• Cutting-Edge Topics: Explore AI Agents, Retrieval-Augmented Generation (RAG), LLM Testing, and more.
• 100+ Open-Source Libraries: A curated collection of essential AI libraries like LangChain, Weaviate, and Hugging Face.
• Real-World Applications: Build impressive AI projects and strengthen your portfolio.

🧩 Featured AI Projects

Explore hands-on projects at different levels:

🌱 Starter AI Projects

• Beginner Guide of AI Suite
• Gradio: Build Interactive AI Applications
• LangChain Basics

Intermediate Gen-AI Projects

• RAG (Retrieval Augmented Generation) System using Llama 3 405B
• Travel Agent Streamlit App
• Educhain MultiLanguage Quiz Generator

🚀 Advanced GenAI Projects

• Vision RAG with Cohere Embed v4 + Gemini Flash
• Medical Bot using Mistral7 and LlamaIndex
• Suno AI Advanced Speech Synthesis Platform

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🗂️ Folder Structure

100-os-libraries/           # 100+ open-source AI library notebooks
ai-agents/                  # Agent frameworks and projects
experiment-notebooks/       # Core utilities, outputs, and webscraping
ai-apps-collection/         # End-to-end GenAI apps and demos
LLM-Testing/                # LLM-specific experiments (Gemini, Llama, OpenAI, etc.)
RAG-techniques/             # Retrieval Augmented Generation projects
workshop-notebooks/         # Workshop and tutorial notebooks
README.md                   # This file
LICENSE                     # License

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🚀 Get Started

1. Clone the repository:

   git clone https://github.com/buildfastwithai/gen-ai-experiments.git
   cd gen-ai-experiments

2. Install dependencies:

   pip install -r requirements.txt

3. Explore and experiment! Navigate to the folders and run the Jupyter Notebooks to begin your journey.

🤝 Contribute

Contributions are welcome! Please feel free to submit a pull request, create an issue, or share your feedback.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📄 License

This repository is distributed under the MIT License. See LICENSE for more information.

📧 Contact

For questions or collaboration, please reach out to satvik@buildfastwithai.com.

Happy experimenting!