The video workflow involves structuring the transcript in paragraphs before grouping them into chapters. Different LLMs like LLama 3 8B and GPT-4o-mini are used for specific tasks, such as text editing, paragraph identification, and table of contents generation. TF-IDF is employed to add timestamp information back to the structured paragraphs.
Let’s delve into each step in detail to understand the process better.
Explore further using the accompanying Github repository and Colab notebook on your own!
Check out the first lecture of the course ‘MIT 6.S191: Introduction to Deep Learning’ by Alexander Amini and Ava Amini, licensed under the MIT License, to see the process in action here.
Chapters are already available in the video description.
Compare and explore the chaptering process outlined in the article with the baseline chaptering provided in the video description.
YouTube Transcript API
Discover how the YouTube Transcript API can automate the process of obtaining video transcripts for easy analysis.