AgentX - AgentBeats Info Session
Need more information and/or guidance on the AgentX-AgentBeats Competition? Join us for an Info Session, with Berkeley RDI Co-Director Professor Dawn Song & Berkeley RDI Research Scientist Xiaoyuan Liu!
Hosted by Berkeley RDI, this global challenge builds on the Agentic AI MOOC community of 32K+ learners, uniting builders, researchers, engineers, and AI enthusiasts worldwide to build, benchmark, and push the boundaries of agentic AI.
This two-phase competition invites participants to: First build or enhance benchmarks for agentic AI (Phase 1), and then develop AI agents that excel on them (Phase 2). Together, these phases aim to advance the field by creating high-quality, broad-coverage, and realistic agent evaluations as shared public goods—building a unified, community-driven ecosystem for agent evaluation benchmarks that are compatible, standardized, reproducible, collaborative, and discoverable.
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