Google Vertex AI Hackathon

Welcome to Opening Stream for Google Cloud Vertex AI Hackathon! Join us for opening Talks and Hackathon Guide.

Hackathon Kick-Off

Ksenia Nekrasova and Katharina Beck from Google Cloud will open the Hackathon with inspirational words and onboarding into the Google Cloud products

Google Cloud's Opening

We will guide you through the website, and Discord community - to make sure you will succeed at the Hackathon 

Hackathon Guide

Let's go through the Technology for the Hackathon and how you can get access to it.

Technology and Challenge

Alex Erfurt, the representer of Google Cloud will join the stage to guide you through the AI models and the use cases for your Hackathon projects 

Guide into Google Cloud

After the Kick-Off stream, focus on finding your team for the Hackathon and start brainstorming your idea!

Team Formation time!

5-min tutorial for non-tech participants on the creation of GitHub account

GitHub for non-tech participants

Start of the Team Formation

Join Q&A space on lablab.ai Discord server for open session to discuss any questions you may have

Open Q&A with mentors

Submission Deadline

Working on the intersection between AI and Low-code to enable people to create extraordinary apps

State Change Labs

Ray Deck

Akshay Rakheja

Medium sized companies that are GCP customers have a problem. They hear about the great power of OpenAI and want to take advantage to leverage the technology for their businesses. But at the same time, they have significant proprietary data that they can't hand to just anyone, and they are concerned about the use of this information in the hands of startups they've never heard from. Howe can we solve this problem? 

The new releases in Vertex mean an opportunity to re-connect the dots of modern generative AI technology with the information they have today without ever leaving Google. Our implementation connects audio import of meeting recordings using Google Cloud Run and Google Speech-To-Text using the latest-generation Chirp model. We then load that data into Google CLoud Storage and apply it to a Vertex matching engine via the Gecko embeddings model. The data is queryable using a langchain-enabled Chainlit instance again running on Cloud Run which leverages both the latest Palm 2 chat interface and vector search from Matching Engine. Now instead of using Pinecone, Ada and GPT4, one can use an all-google approach for compliance and safety. 

Now GCP customers don't have to leave GCP to get first-class embeddings and generative AI tech! We link multimodal input (including audio using chirp) into matching engine and provide access without ever leaving GCP

"State Change Labs team on Google Vertex AI Hackathon Hackathon"

Team Idea

Submission