Gen-AI-Experiments

Welcome to the Gen-AI-Experiments repository! 🚀
This repository is a structured collection of Jupyter notebooks and AI experiments designed to guide users through various AI tools, frameworks, and models. Whether you're a beginner or an experienced practitioner, this repository offers something valuable for everyone!

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📂 Folder Structure

• AI-agents
  Contains notebooks and scripts for building intelligent agents, including examples for JEE preparation and travel assistance.

• Experiments
  A collection of exploratory notebooks experimenting with innovative AI workflows and use cases.

• LLM-Testing
  Includes testing and benchmarking notebooks for Large Language Models (LLMs) like GPT, Llama, and others.

• Open-Source-Libraries
  Demonstrates the use of open-source AI libraries and frameworks in real-world scenarios.

• RAG-Experiments
  Focuses on Retrieval-Augmented Generation (RAG) systems and their integration with modern AI tools.

• educhain-experiments
  Dedicated to experiments and use cases for AI in educational domains and blockchain integration.

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🌟 What You'll Learn

• AI Agents: How to build intelligent systems for specific tasks.
• Model Testing: Methods to evaluate and benchmark popular AI models.
• RAG Systems: Techniques for combining retrieval systems with language models for enhanced performance.
• Real-World Applications: Practical examples of AI in education, automation, and data analysis.
• Open-Source Tools: Hands-on usage of popular open-source libraries.

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🛠️ Tools & Frameworks

• Python
• Jupyter Notebooks
• Large Language Models: GPT, Llama, Neomtron, etc.
• Visualization Tools: Matplotlib, Seaborn
• Libraries: Hugging Face, PyTorch, TensorFlow

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🚀 Getting Started

1. Clone this repository:

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

2. Install the required dependencies:

   pip install -r requirements.txt

3. Navigate to the relevant folder and start experimenting! 🚀

🌟 Pro Tip

If you find this repository useful, don’t forget to 🌟 Star this repo! Your support helps us create even more valuable resources.

🌐 Contribution

We welcome contributions! Here's how you can contribute:

• Report Bugs: Open an issue for any problems or improvements.
• Add Features: Submit a pull request with your innovative ideas.
• Share Feedback: Let us know how we can make this repository even better!

📄 License

This repository is licensed under the MIT License. Feel free to use, modify, and share it in your projects—just don’t forget to give credit!

💬 Stay Connected

For questions, suggestions, or collaborations, feel free to reach out via [email/contact link] or create an issue in this repository.

Happy experimenting! 🤖✨