Gen AI Hackathon: Compound AI Systems
Gen AI Hackathon: Compound AI Systems
NavigateAI, collaborating with Avahi, LangChain, Cohere, AWS, MultiOn, Sema4, Galileo, Porter, Marly, Senso and others enthusiastically welcomes individuals and teams to join our hackathon! Seize this opportunity to create cutting-edge solutions that enhance human potential through AI-powered software.
The Challenge
Participants will build and compete, each presenting their ideas and solutions. The challenge is to create Gen AI-powered multi-agent systems that assist users in their daily lives. Projects should focus on building safe and secure AI systems that can coordinate multiple autonomous agents to perform complex tasks, optimize processes, and provide intelligent solutions based on collaborative efforts.
Make a difference: Focus on building AI that benefits both individuals and society. Consider the ethical implications of your creations and ensure they align with responsible AI development practices.
Judges
We have an incredible list of judges that will be present at the event.
Nima Seifi - Startup Solutions Architect at AWS
Vivek Gangasani - Sr. Gen AI Specialist Solutions Architect, Amazon SageMaker GTM at AWS
Jon Turdiev - Senior Solutions Architect at AWS
Maria Xenochristou - Senior AI Researcher at Fujitsu Research
Erasmus Elsner - Venture Capital & Growth Equity at UBS / Co-Founder of Marly
Sunny Rochiramani - VP / Head of Engineering at Descript
Atin Sanyal - Co-Founder & CTO at Galileo
Gangesh Pathak - Co-Founder & CEO at Saletancy / OWOW
Laurie Voss - VP Developer Relations at LlamaIndex
Erik Bovee - VP of Business Development at MindsDB / Venture Partner at SpeedInvest
Kseniia Ryuma - Solutions Architect at Cohere
Div Garg - Co-Founder & CEO at MultiOn
Joanne Chen - General Partner at Foundation Capital
Antti Karjalainen - Co-Founder at Sema4.ai
Qingyun Wu - Creator and lead of AutoGen | Assistant Professor at Penn State University
Alessandro Amenta - AI Engineer at Nexler
Dhruv Motwani - Head of GenAI at Avahi
Ruby Nahal - Cloud Architect at Avahi
Brooke Hopkins - Founder of Coval (YC S24)
The Opportunity
Win big at this hackathon! Compete for a chance to grab prizes and present your best product.
Maximize your creation with sponsor APIs: Many sponsors offer powerful APIs that can enhance your projects. Explore the available APIs.
Join a vibrant community: Network with fellow AI engineers, learn from industry experts, and gain valuable exposure for your work.
Don't miss out! Assemble your team (or go solo!) and be a part of shaping the future of human-AI collaboration. This hackathon welcomes projects at all stages to compete for prizes! Whether your idea is brand new or your project has up to $1 million in revenue and funding, you're eligible to win.
🗓️ Schedule (Tentative):
9:30 AM: 🚪 Doors Open
10:00 - 10:30 AM: Team Formation
10:30 - 11:30 AM: 🎤 Keynote Speaker (Qingyun Wu - Creator and lead of AutoGen | Assistant Professor at Penn State University), Opening Remarks, and Lightning Talks from our Partners
11:30 AM: 💻 Start Coding!
1:00 PM: 🍽️ Lunch
4:30 PM: 📝 Team Registration Deadline (for judging presentation slot)
4:45 PM: 📤 Project Submission Deadline
5:00 PM: 👩💻 Finalists Presentations and Judging
5:30 PM: 🎤 Closing Keynote
6:30 PM: 🏆 Awards Ceremony
7:00 - 8:00 PM: Networking
Prizes
AWS General Prize:
$5000 AWS credits for winning team
LangChain General Prize:
$1,500 in LangSmith credits for first place team (split across team members)
$1,000 in LangSmith credits for second place team (split across team members)
$500 in LangSmith credits for third place team (split across team members)
Cohere Use of Multi-Step Tool Use API Prize:
$3,000 credits in Cohere API for the winning Demo
Galileo Most Production-Ready Project Prize:
$1,000 Cash for 1st place (split across the team members)
$500 Cash for 2nd place for this prize (split across the team members)
Llamaindex Best Use of LlamaIndex Prize:
$1000 in cash (split across team members)
and more
Sponsors
Avahi, LangChain, Cohere, AWS, MultiOn, Sema4, LlamaIndex, Galileo, Porter, Marly, Senso, Sourcegraph