Learn Before
Frontier Foundation Models, Capability Evaluation, and Just-In-Time Agent Harnesses @ University of Michigan - Ann Arbor
Learners will explore the technical foundations of frontier model evaluation, predictable scaling, and multimodal alignment as exemplified by GPT-4. The curriculum details evaluation integrity through contamination analysis, post-training effects on calibration, and rule-based safety mechanisms. Furthermore, learners will examine modern autonomous agent engineering, analyzing how dynamically generated harnesses and evolutionary optimization unlock new scaling dimensions beyond parameter count.
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Learn After
Ch.1 Foundation Model Capabilities and Benchmarking - Frontier Foundation Models, Capability Evaluation, and Just-In-Time Agent Harnesses @ University of Michigan - Ann Arbor
gpt4-selected-pages.pdf
Ch.2 Post-Training Alignment and Calibration - Frontier Foundation Models, Capability Evaluation, and Just-In-Time Agent Harnesses @ University of Michigan - Ann Arbor
Ch.3 Adaptive Agent Harness Design - Frontier Foundation Models, Capability Evaluation, and Just-In-Time Agent Harnesses @ University of Michigan - Ann Arbor
Ch.4 Advanced Harness Paradigms and Scaling - Frontier Foundation Models, Capability Evaluation, and Just-In-Time Agent Harnesses @ University of Michigan - Ann Arbor