WIM Whatd I Miss

Created by team Vector on May 28, 2023

Anthropic Claude BERT Generative Agents Whisper

Ask pointed questions about a given playlist and get back a summary, key points, and related timestamps generated via AI! 🤖 Could be podcast series, a learning series, or something completely different! Can take in even very large/long series (tested on ~150 ~2-hour long podcasts)!Ask pointed questions about a given playlist and get back a summary, key points, and related timestamps generated via AI! 🤖 Could be a podcast series, a learning series, or something completely different! Can take in even very large/long series (tested on ~150 ~2-hour long podcasts)! This tool can take a YouTube transcript from one or more videos to be used to answer questions on a topic. The output will include a generated overall summary and generated key points from the video(s) by reading select parts of the transcript. The output will also include links to the relevant video, timestamped to the specific quote/snippet related to its respective key point. This tool can be useful to learners going through a video series playlist to review or identify where the series talks about a topic. It can also be used for educators in creating lessons from a series of videos. It also can be used for more casual enjoyment such as reviewing what the hosts have said on a particular topic. This use case is especially relevant for podcasts where hosts may revisit the same topic across multiple topics. Although Anthropic's Claude model can take in 100k tokens, this still creates a limit to what's read in by the LLM. This project will attempt to read in all the selected transcripts for the available model but if the transcript is too big for even the beefiest model, the tool will strategically select portions of the relevant transcripts based on the user fed question.

Category tags:

Summarization, Productivity, Knowledge Base, Video, Education

Github Presentation Demo

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Google Vertex AI Hackathon

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test team

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OpenAI

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testingoo musi

GPT-3.5

Victor Geislinger
Machine Learning Engineer / Data Scientist

"Maintaining academic engagement in today's technology-driven world can be a challenge, as students often feel disconnected and lack motivation. Your project offers a promising solution to this issue by providing engaging content that captures students' interest and keeps them focused on various subjects. I believe your project has the potential to make a significant impact in educational institutions by fostering a renewed sense of engagement and curiosity among students. Best of luck with your project, and I am excited to see the positive changes it brings to the academic landscape!"