This repository is a comprehensive learning resource to guide you through developing Generative AI (GenAI) solutions. Starting from foundational concepts, you'll progress to building scalable architectures for enterprise-level use cases like querying distributed domain knowledge.
Examples of potential applications:
- IT knowledge management
- Product specifications for retailers
- Internal employee portals
By the end of this journey, you'll have the skills and confidence to create robust Generative AI systems.
- Beginner-Friendly: Start from the basics of Generative AI and build up to advanced topics.
- Practical Notebooks: Hands-on exercises using Google Colaboratory.
- Scalable Architectures: Learn to design solutions for real-world, enterprise-level challenges.
- Customizable: Adapt the provided solutions to your specific use cases.
├── data/ # Add your domain-specific datasets here.
├── notebooks/ # Step-by-step Google Colaboratory notebooks.
├── solutions/ # Completed versions of notebooks for reference.
├── README.md # Documentation for the repository.
- Laptop with Internet Access
- Google Account (required for Google Colaboratory)
If you don’t have a Google account, create one for free:
Create Google Account
- Google Colaboratory (Colab): A cloud-based tool to execute Python code seamlessly.
git clone https://github.com/your-username/genai-from-basics-to-production.git
cd genai-from-basics-to-production
- Open any notebook from the
notebooks/
folder in Google Colaboratory. - Add your datasets to the
data/
folder or upload them directly to Colab as needed.
- Start with the introductory notebooks and progress to more advanced topics.
- Each notebook includes clear explanations, practical code snippets, and exercises to deepen your understanding.
We welcome contributions from the community!
- If you have suggestions, enhancements, or bug fixes, feel free to open an issue or submit a pull request.
This project is licensed under the Apache 2.0 License. For more details, see the LICENSE file.
This project leverages Google Colaboratory and popular open-source libraries to provide an accessible, practical learning experience for everyone.
Happy learning! 😊