A Complete Guide for Creating an AI Assistant for Summarizing YouTube Videos — Part 2

Author(s): Amin Kamali

Originally published on Towards AI.

Summarize a video transcript using LangChain and the Falcon model efficiently using Quantization
Image generated by the author with Playground.ai

In the previous part of this series, we captured the transcript of a YouTube video. In this post, we will take that transcript and create a summarization pipeline that distills the text into a concise summary including key points and arguments presented in the video (see Figure 1). To this end, we will use LangChain to create the summarization pipeline and HuggingFace to make inferences using open-source LLMs. You may want to have a look at a demo of the tool or the code hosted on Hugging Face Spaces. Feel free to give it… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI