Stanford's Fall 2026 CS 224V course covers accountable, low-hallucination AI agents
Overview
A Stanford CS 224V Agentic AI course for Fall 2026, taught by Monica Lam, centers on a semester-long team project worth 65% of the grade, according to a post by meng shao on X. The course covers retrieval-augmented generation to reduce hallucination, SMT-based accountable decision-making, and long-horizon agents.
Lectures are built around systems including STORM, SatIR, WikiChat, SPINACH and SUQL. The post also gives attendance rules, an enrollment limit, and a schedule of assignments and proposals.
Written by AI from the articles below · updated Nov 2, 11:03 PM ET
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meng shao@shao__mengXStanford's Fall 2026 CS 224V course builds accountable, low-hallucination agentsAIStanford's Fall 2026 CS 224V Agentic AI course, taught by Monica Lam, centers on a semester-long team project worth 65% of the grade. Topics include retrieval-augmented generation for reducing hallucination, SMT-based accountable decision-making, and long-horizon agents, with lectures built around systems such as STORM, SatIR, WikiChat, SPINACH, and SUQL. The post also covers attendance, enrollment limits, and the schedule of assignments and proposals.
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