Anthropic AI Hackathon

You have one last chance to register for the event, and be the first to meet Claude from Anthropic

 Closing of Registration

Welcome to the 7 days of creation with TOP model on the market! We will start with intro from lablab.ai team!

Hackathon Opening

We will dive into the rules to get an access to Anthropic. Stay tuned!

Rules and API access

The tech overview on the Claude AI Assistant and tech tutorials recommendations for you.

Meet Anthropic's Claude

We will go through profile creation, team formation, communication with Mentors and more.

Getting around Discord and the Platform

Join OpenVoice Channel for Mentorship session about business strategy, bringing first users, fin strategy and more.

Mentor Session: Pawel Czech

Hurry up! That's the last time to be able to get access to Claude AI Assistant!

Deadline to submitting access form

It's the deadline to submit your projects!

The time is OVER!

WIM - What'd I Miss?
Ask pointed questions about a given playlist and get back a summary, key points, and related timestamps generated via AI! 🤖

Checkout the demo: https://wim.victorsothervector.com
Checkout current work on repo: https://github.com/MrGeislinger/anthropic-ai-hackathon-2023

Vector

Victor Geislinger

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.




Ask pointed questions about a given playlist and get back a summary, key points, and related timestamps generated via AI! 🤖

"Vector team on Anthropic AI Hackathon Hackathon"

Team Idea

Submission