Stanford HAI - Improving Transparency in AI Language Models

In this brief, Stanford scholars introduce Holistic Evaluation of Language Models (HELM) as a framework to evaluate commercial application of AI use cases.

Stanford proposes a holistic evaluation framework to assess the quality and reliability of language models, considering factors such as performance, bias, interpretability, and ethical considerations.

Read the report here (opens in a new tab)