Evaluating Model Inference

Nathan and Riley delve into the intricacies of model evaluation, discussing the concept of equal inference costs and the potential of self consistency as a reliable method. Riley highlights that running multiple samples can yield results comparable to more advanced models, suggesting a nuanced approach to understanding trade-offs in inference costs. They also touch on recent advancements, such as the plan search method, which further refines these evaluation techniques.