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Stanford CS329A Self-Improving AI Agents | Part 2 | Test-Time Compute Scaling Aug 3, 2026 · 1:03:21 This lecture examines test-time compute scaling, showing how repeated sampling and advanced architectures like Arkon can boost model performance without retraining. It covers power laws and optimizing inference pipelines.

Stanford Online

Stanford CS329A Self-Improving AI Agents | Part 2 | Test-Time Compute Scaling

This lecture examines test-time compute scaling, showing how repeated sampling and advanced architectures like Arkon can boost model performance without retraining. It covers power laws and optimizing inference pipelines.

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