The Holistic Evaluation of Language Models (HELM) is a comprehensive framework developed by Stanford University for evaluating foundation language models. It serves as a living benchmark, promoting transparency in language models. Here are the key aspects of HELM:

Purpose: HELM aims to provide a holistic view of language models by considering various dimensions and metrics. Coverage: It encompasses a wide range of scenarios and recognizes the inherent incompleteness of existing models. Metrics: HELM employs multiple metrics to assess language models. Standardization: The framework promotes standardization in evaluation practices. Accessibility: All data and analyses are freely accessible on the HELM website for exploration and study.