A STATISTICAL APPROACH TO MODEL EVALUATIONS

Summary from the TLDR AI newsletter

When two models are compared on a benchmark, and one of them is declared better than the other, it's hard to have much confidence in that declaration. This work from Anthropic explores some nice statistical methods that can be used to truly determine when one model outperforms.