Welcome to the AI Notebooks repository!
This collection of Jupyter notebooks is designed to showcase various applications and examples of Artificial Intelligence (AI) and Machine Learning (ML).
Whether you're a beginner looking to learn the basics or an experienced practitioner seeking advanced implementations, you'll find valuable resources here.
This repository contains a series of Jupyter notebooks that explore different aspects of AI and ML. Each notebook is self-contained and provides detailed explanations, code examples, and visualizations to help you understand and implement various AI techniques.
This notebook demonstrates the use of CrewAI in conjunction with the Ollama language model. It covers the creation of various agents and tasks for content preparation, specifically for a YouTube channel focused on topics such as AI, Machine Learning, and Neural Networks.
- Agent and Task Creation: Learn how to define and use agents and tasks for automating content preparation.
- Integration with Ollama: See how to integrate the Ollama language model for advanced text generation and processing.
- Comprehensive Examples: Follow step-by-step examples to set up and run your own content preparation pipeline.