The Simplest Explanation of AI Evals You'll Ever Hear
In this concise talk, the speaker demystifies AI evaluations by likening them to school grading rubrics. He explains that an AI eval consists of multiple heuristics—such as accuracy, citation quality, tone, length, and argument strength—each scored and weighted to produce an overall grade, just like a teacher grades an essay. He then grounds the concept in a concrete, economically valuable use case: ingesting legal contracts into a compliance system. The speaker outlines how to define a rubric for that task, iteratively refine it with more data and usage, and thereby improve the AI’s performance over time. The overall message is that AI evals need not be complex; a clear, weighted rubric that evolves with experience is sufficient for building reliable AI products.
