Qualitative Evaluation of Language Models Using Natural Language Summaries

Paper link: arxiv.org/abs/...
An AI podcast on a paper about AI grading AIs.
Summary:
Report cards are fine-grained descriptions of a model’s behaviors, including its strengths and weaknesses, with respect to specific datasets, such as of math, biology, and safety-focused questions. They can capture how a model behaves on unseen test sets. We develop a framework to evaluate report cards based on three criteria: specificity (ability to distinguish between models), faithfulness (accurate representation of model capabilities), and interpretability (clarity and relevance to humans).
Made with notebooklm.goo...

[@scottclowe]

This output quality is really good! Can you generate a report card for the model used to generate the podcast episode?

[@michaelrzhang]

We're currently focused on reports for existing datasets, but this would be cool to do!