Have you ever found yourself in a situation where you needed to go through a lot of YouTube videos to learn or research about a particular topic? Watching hours and hours of videos, taking notes, and still missing important details is a real struggle.
In this article, I'll go over the process that allowed me to save countless hours extracting key insights from YouTube videos. I did this by creating a Python workflow that uses large language models (LLMs) to answer any questions about the video's content. Not only did this save me hours, but it also increased my productivity and improved my learning. As a result, I can use the extra time to create more content or take a well-deserved break.
Let me walk you through the process of creating this ai assistant for YouTube. Let’s dive in!
Before we get into the technicalities, let’s explore why this project has been a game-changer for me.
At the core of what I do on a daily basis in my full-time role as a developer advocate and in my part-time endeavor as a YouTuber (I run the site Data Professor The YouTube channel is a content investigation.
