OpenAI Stack Hack

Join us to find out how developers can interact with Redis, a real-time data platform with its blazing-fast vector database

Redis Talk

Paweł Czech and Mathias Asberg, co-founders of New Native will talk about lablab.ai's mission and vision. https://www.twitch.tv/lablabai

Start

We will shortly introduce you to the OpenAI Whisper, GPT3, Codex & DALL-E 2 Hackathon, Challenge, lablab.ai platform, Discord server.

Introduction to the Challenge

Short intro from lablab.ai's partner - Redis, the leading provider of enterprise-class solutions for vector search, data storage, and ML feature workloads

Redis Introduction

Startup lessons especially when it comes to actually applied NLP AI

Useful tips from lablab.ai developer Fabian

ChatGPT for developers/ how are for what to use

Whisper Tutorial for developers

Go-to-market strategy, basics of pricing, funding and valuation for AI startups

GPT-3 Live Coding Session

Under the hood: Building a QA app using Redis

Time's up! Submit your solution before the deadline

Team based on SIT with skills in DS and BisDev

MoneyMackers

somal

Viktoryia_aa

whoisthatgirl

Documentation AI is a revolutionary solution that leverages the power of artificial intelligence to help people quickly search for any information based on their documentation. With its intuitive chatbot interface, users can easily find relevant documents and get answers to common questions, all without the need to manually search or ask senior employees. Using natural language processing, Documentation AI can understand the intent behind the user's query and quickly identify relevant documents that match their needs. This solution can be a game-changer for businesses, reducing the burden on highly-paid senior employees who are often inundated with requests for documentation. By streamlining the search process, Documentation AI can save time and resources for businesses of all sizes.

Documentation AI is a chatbot that utilizes natural language processing to help users quickly locate relevant documents in your knowledge base or documentation instead of wasting time by manually scrolling or asking senior employees.

"MoneyMackers team on OpenAI Stack Hack Hackathon"

Team Idea

Submission