Expo Demonstration
Agent-driven training on Modal
MR C3.3
Abstract:
AI agents can now propose hypotheses, write training code, and analyze results, but they quickly hit a wall: the infrastructure. Research loops need fast access to GPUs, isolated sandbox environments, reproducible experiments, and measurable observability for agents to assess success. In this demo, we show how to scaffold infrastructure and observability that empowers autoresearch.
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