Welcome to the Gen-AI-Experiments repository! This collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies. Whether you're a beginner or an experienced practitioner, these notebooks will help you understand and utilize cutting-edge AI models and frameworks.
- How to Use Gemini 1.5 Flash with Portkey
- Image Processing Using Vision Models
- Introduction to Guardrails
- Introduction to Phidata
- Question Generation Using Educhain
- Using Discriminator Guardrails v2
This notebook provides a step-by-step guide on how to use the Gemini 1.5 Flash model with Portkey. You'll learn how to set up the environment, load the model, and perform inference.
Explore the capabilities of various vision models for image processing tasks. This notebook includes examples of image classification, object detection, and segmentation.
Guardrails are essential for ensuring the robustness and safety of AI models. This notebook introduces you to the concept of guardrails and demonstrates how to implement them in your projects.
Phidata is a powerful tool for data management and analysis. This notebook covers the basics of Phidata, including data ingestion, transformation, and visualization.
Learn how to generate questions automatically using the Educhain framework. This notebook walks you through the process of setting up Educhain and generating various types of questions.
Discover the advanced techniques for using discriminator guardrails to improve the performance and safety of your AI models. This notebook provides detailed examples and best practices.
To get started with these notebooks, clone the repository and open the notebooks in Jupyter or any other compatible environment.
git clone https://github.com/yourusername/gen-ai-experiments.git
cd gen-ai-experiments