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:
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