Autonomous Agents Hackathon

SuperAGI is hosting Twitter space before the Hackathon, having an open discussion on AI Agents with AI experts from SuperAGI, Weaviate, Llamaindex, and lablab.ai

Join the discussion on Twitter on @_superAGI page!

Twitter Space Talk!

Hackathon Kick-Off

The founders at NewNative and lablab.ai will introduce participants to our mission and the opportunities you have as a member of the lablab.ai community

NewNative Introduction

Introduction to SuperAGI: Exploring AI Agents

AI Agents Explained: A Talk by Logan Kilpatrick (from OpenAI)

Vector Databases & AI Agents: A Talk by Etienne Dilocker, Weaviate

Let's go through the Technologies for the Hackathon and how you can learn it.

Technology and Challenge

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

Hackathon Guide

Weaviate Workshop: 45-Minute Session with Mentors on Discord

AWS Workshop with Goutam Kurumella

Open Q&A with mentors

Live Q&A: Meet the Auto-GPT Team

Join us for an insightful Q&A session with Vasek Mlejnsky of E2B and the expert mentors from lablab.ai!

Book Your Slot with Industry Experts! Collaborate with Mentors from Arize, Lablab.ai, LlamaIndex, SuperAGI, and Weaviate to Finalize Your Concepts and Ideas!

Mentorship Sessions

Arize Workshop on Discord: Troubleshooting Retrieval Augmented Generation

Q&A Session with GPT Engineer Anton Osika

Submission Deadline

Finnalists Pitching and Winners Announcament Stream

We are data engineers, who would like to upskill to ML stuff. We are very good in engineering ;-)

ai-for-fun

Marcin Bielak

Krystian Dziubinski

Problem statement: Audit of IoT data from sensors becomes increasingly more difficult due to complex rules, which need to be applied in the observability tools. 

Why:  Number of sensors increased and complexity of understanding metrics is requires machine learning solutions. However, in order to build machine learning based observability models we need labeled data for specific domain behaviors. These rules are understood as anomalies by domain experts (Predictive maintenance).

Solution: We would like to create tool to support domain experts.So that they can easily find  anomalies in the data for preventing issues of machines malfunctions. 


Time series data labeling autonomous agent for predictive maintenance (for IoT & IIoT).

"ai-for-fun team on Autonomous Agents Hackathon Hackathon"

Team Idea

Submission