LLM Agents MOOC Hackathon

The LLM Agents MOOC Hackathon, hosted by UC Berkeley's Research, Data, and Innovation (RDI) initiative in conjunction with the LLM Agents Massive Open Online Course (MOOC), invites students, researchers, and practitioners to develop innovative Large Language Model (LLM) agent applications. The event is open to the public and will be held both virtually and in person at UC Berkeley.

Tracks:

1. Applications Track: Develop innovative LLM agent applications across diverse domains, from coding assistants to personal AI companions.
2. Benchmarks Track: Create and improve benchmarks for AI agents, enabling standardised evaluation and comparison of different agent architectures and capabilities.
3. Fundamentals Track: Enhance core agent capabilities such as memory, planning, reasoning, and tool use through novel frameworks and techniques.
4. Safety Track: Address critical safety concerns in AI agent deployment, including misuse prevention, privacy, interpretability, and broader societal impacts.
5. Decentralised and Multi-Agents Track: Advance tools, frameworks, and applications for decentralised multi-agent systems, focusing on enhanced capabilities, interactions, and deployment.

Key Details:

• Submission Deadline: 17 December 2024, 5:00 PM PST.
• Eligibility: Individuals above the legal age of majority in their country of residence; team participation is required.
• Prizes: A total prize pool of $100,000.

This hackathon aims to advance LLM agent technology and foster a collaborative AI agent community. Participants will have the opportunity to showcase their work, contribute to the field, and compete for substantial prizes.

For more information and to register, visit the LLM Agents MOOC Hackathon page.