Course HW3 has students simulate multi-turn human-agent interaction data and derive eval metrics

alexisjross · x · 2026-11-05

Echo Shao shared HW3 of a human-AI interaction course: students hands-on collect multi-turn human-agent interaction data through simulation and derive high-fidelity metrics for unverifiable tasks. The Persimmon model from Sandbar is provided free so students have better user simulators — a concrete example of using LLM-simulated users for agent evaluation.

Related event: Stanford CS329X Assignment Has Students Collect and Evaluate Human-AI Interaction Data(3 posts)→

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