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In this video, we're building a Python workflow that helps you extract knowledge from any YouTube video. In a nutshell, the general workflow includes: 1. Extracting and downloading the audio from a YouTube video 2. Transcribing the audio into text form 3. Answer questions about the video using LeMUR from AssemblyAI, where under the hood Anthropic's Claude 3.5 Sonnet is used as the large language model. AssemblyAI has generously provided API credits for the tutorial and has agreed to provide $50 free credits to viewers of this video: 🔑 Get your AssemblyAI API key https://www.assemblyai.com/?utm_sourc... 📖 AssemblyAI Docs: https://www.assemblyai.com/docs/?utm_... 🐙 Code https://github.com/dataprofessor/asse... ✨ Read Blog https://dataprofessor.beehiiv.com/p/i... ---------------------------- Support my work: 👪 Join as Channel Member: / @dataprofessor ✉️ Newsletter http://newsletter.dataprofessor.org 📖 Join Medium to Read my Blogs / membership ☕ Buy me a coffee https://www.buymeacoffee.com/dataprof... Recommended Resources 📚 Books https://kit.co/dataprofessor 😎 Taro (Tech Career Mentorship) https://www.jointaro.com/r/dataprofes... 📜 Google Data Analytics Professional Certificate https://click.linksynergy.com/deeplin... 🤔 Interview Query https://www.interviewquery.com/?ref=d... 🖥️ Stock photos, graphics and videos used on this channel https://1.envato.market/c/2346717/628... Subscribe: 🌟 Coding Professor / @codingprofessor 🌟 Data Professor https://www.youtube.com/dataprofessor... Disclaimer: Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents. #datascience #machinelearning #dataprofessor