Python Advanced AI Agent Tutorial - LlamaIndex, Ollama, and Multi-LLM

Dive into an advanced tutorial on developing AI agents using multiple Large Language Models (LLMs). Learn to create a sophisticated AI system that combines LlamaIndex, Ollama, and various LLMs. Begin with a project demonstration, then explore the concepts of agents and projects. Follow step-by-step instructions for installation and setup, including Ollama configuration. Master techniques for loading PDF data and utilizing LlamaParse. Discover how to create custom tools and agents, implement a code reader tool, and work with output parsers and multiple LLMs. Gain insights into handling retries and saving outputs to files. Perfect for developers looking to enhance their AI development skills and create complex, multi-LLM AI agents.

| Video Overview
| Project Demo
| Agents & Projects
| Installation/Setup
| Ollama Setup
| Loading PDF Data
| Using llama Parse
| Creating Tools & Agents
| The Code Reader Tool
| Output-Parser & Second LLM
| Retry Handle
| Saving To A File