Using LlamaIndex with Large Language Models

In this detailed tutorial, Alejandro AO introduces viewers to the LlamaIndex framework and demonstrates how to effectively work with Large Language Models (LLMs) like OpenAI’s GPT-4o and Meta’s Llama 3.1. The video covers the installation process, API key management, and the two primary methods for interacting with LLMs: `complete()` for text-to-text generation and `chat()` for message-based interactions. Alejandro emphasizes the importance of understanding these methods to build conversational assistants and manage response types effectively. He also discusses the streaming capabilities of both methods, allowing for real-time feedback during interactions. The tutorial aims to equip viewers with foundational knowledge for more advanced applications in future videos, including structured output generation from LLMs.