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

Hi everyone! We are a bunch of students from the TUM.ai Student initiative in Munich. Pack ma's 🙌🏼

Munich-AI-Agents

Roberto

Quicknick123

David Podolskyi

MykhailoTrushch

pokraas

We believe that the cause why many data science projects fail is that are error-prone and long winding data cleaning processes. We are building the tool - tidyAI - for data scientists that automates data preprocessing and cleaning.

tidyAI is built on top of an AI agent, which can adapt to the particular challenges present in the data file. The planner detects the mistakes present in the data that might prevent a future analysis or visualization and generates a list of transformations to apply. The executor takes the top transformation and applies it to the dataset.

We do not want to take over the job of a data scientist and analyst, we want to free him up from the grunt work, the work he hates to do, so the data scientists can focus on the work that excites them and that provides value: the analysis.

 tidyAI is an agent taking over the data cleaning for you. AI-powered detection reveals malformed data, smart agents transform the relevant rows and columns, and quality control bots ensure successful and error-free changes.

"Munich-AI-Agents team on Autonomous Agents Hackathon Hackathon"

Team Idea

Submission