Build a YouTube Summarizer with Llama 3

In this tutorial by Case Done by AI, viewers learn how to use Ollama and Llama 3 to build a YouTube video summarizer. The session is divided into two main sections. The first section covers the basics of Ollama, an open-source application that allows users to manage large language models (LLMs) like Llama 3 on their local machines. Users can download, configure, and run these models, even hosting them as local APIs for application development. The tutorial walks through commands for downloading models, starting chat sessions, and customizing model parameters using configuration files. The second section focuses on building a YouTube summarizer using Llama 3, LangChain, and Gradio. The summarizer extracts video transcripts, splits them into manageable chunks, and uses a map-reduce approach to generate summaries. The tutorial provides a detailed code walkthrough, demonstrating how to set up the summarizer, handle long texts, and integrate the summarizer into a user-friendly Gradio interface. The video emphasizes practical applications of generative AI and offers tips for improving and customizing the summarization process.