Join the AutoGen 24-hours Hackathon to explore AutoGen, a framework for developing customizable LLM applications using conversational agents that seamlessly integrate human input. Discover endless possibilities by combining LLMs, human interaction, and tools. Your innovation starts here!
Our AI hackathon brought together a diverse group of participants, who collaborated to develop a variety of impressive projects based on:
446
Participants
48
Teams
9
AI Applications
Framework helps to manage your AutoGen agent with Obsidian. Pre-build (Obsidian) wallet provide ability to setup and tune, get logs and consumption, test and benchmark your AutoGen agent
AI on Rails
We integrated a Discord bot with AutoGen to collect human feedback, augmenting the terminal-based system. This facilitates real-time feedback, enhances user engagement, aligning with modern collaborative workspace norms.
AI3
A virtual assistant with Autogen for data science tasks, from data preprocessing to model training and hyperparameter tuning.
AIScale
This event has now ended, but you can still register for upcoming events on lablab.ai. We look forward to seeing you at the next one!
Checkout Upcoming Events →Submissions from the teams participating in the AutoGen 24-hours Hackathon event and making it to the end 👊
This is a generalist agent that can go online and produce multimedia outputs.
Team Tonic
PsychGen, developed at the AutoGen Hackathon, merges Conversational AI with personalized psychotherapy, addressing mental health issues. Utilizing robust tech like AutoGen and OpenAI, it transitions from text to audio to video for a guided psychotherapy.
EmoSync
A virtual assistant with Autogen for data science tasks, from data preprocessing to model training and hyperparameter tuning.
AIScale
Developed an AI Agent using AutoGen, that profiles, tracks line by line execution and debugs Python code, enhancing efficiency of debugging identifying logical errors in a proof-of-concept program.
DebugYourCode
AutoGen is an innovative AI solution that revolutionizes the way text data is processed. It tackles the time-consuming and challenging task of classifying text into the appropriate industries, creating concise summaries, and assessing readability.
Shaman Technology
A group of GPT-4 driven agents that can help you with your literature research
ResearchAI
We integrated a Discord bot with AutoGen to collect human feedback, augmenting the terminal-based system. This facilitates real-time feedback, enhances user engagement, aligning with modern collaborative workspace norms.
AI3
Framework helps to manage your AutoGen agent with Obsidian. Pre-build (Obsidian) wallet provide ability to setup and tune, get logs and consumption, test and benchmark your AutoGen agent
AI on Rails
AutoQuant is an AI-driven hedge fund that executes swift trades using the latest financial news for maximum investment yield.
YCM Hackathon Team