helm
Stanford's CRFM-HELM project presents a framework for evaluating language models, including datasets such as NaturalQuestions and models like GPT-3. It expands evaluations beyond accuracy to metrics such as efficiency and bias, assesses robustness through perturbations, and offers access through a modular API and proxy server. The project also explores vision-language and text-to-image model evaluations with reliable findings. Comprehensive documentation supports effortless installation and use by researchers assessing language models.
