Build your AI Startup Hackathon. Episode 2

We are happ to welcome you on AI Hackathon on lablab.ai! Let's create and build together over next 7 days!

Kick-Off Stream | Intro to lablab.ai

Here's the intro fron our SideQuest provider - Redis. Find out how you can benefit from their technology!

Redis Intro

We will go through the platform and Discord to help you succeed!

Hackathon guide

Redis Platform Introduction 

Tutorial for new to AI people by Fabian - lablab.ai developer

Chat-GPT for developers

Awesome tutorial on buildign Apps with one of the leading NLP model by AI21 Labs.

How to build your app with AI21 Studio

AI interview with Ryan Donnelly - Founder at Enzai Technologies, and the ambassador of Responsible AI!

Ryan Donnelly Talk

why is it telling me the description is too short? ok well it’s not short now.

we absolutely have no idea

Quatton

Thanasan Kumdee

Extracting information from a large database can be difficult, especially when you don't know what to look for. That's exactly why ChatGPT and friends were born to assist Google. However, these models are not to be used for personal data. Sometimes, you just want to know what you did last week, or last year. Sometimes, you just want to know what kind of person you were. And, sometimes you want a deep analysis on your thought and past.

Here is how Memoiz works. First, you have your primary database. This is where you store all your text data. Then, you might have a secondary database. This is where you store the embeddings of your text data. (It is possible that both can be on Redis Stack) When the text data is "archived", its content will be embedded by Cohere Embed, turning into a (seemingly but not) meaningless 4096-dimension vector saved into the Redis server. When the user starts chatting with Memoiz, the chat history will determine the keywords for semantic search on the Redis server. The closest vectors will be treated as a context for the text generation prompt. The text generation prompt will then be sent to the Cohere Generate model for the chat response.

In the next steps, we plan to develop a larger-scale mood tracker with a more powerful language model. We also plan to share a public API for developers to use Memoiz in their own projects.

Ever thought of Googling yourself? The future is now! Memoiz is a semantic search tool for your database. Paired with a powerful language model, Memoiz can chat with you and help you find what you are looking for.

"we absolutely have no idea team on Build your AI Startup Hackathon. Episode 2 Hackathon"

Team Idea

Submission