LESSONS ON BUILDING AN AI DATA ANALYST

Summary from the TLDR newsletter

This article looks at what it takes to build an AI data analyst. It provides tips on how to preserve quality where it matters without blowing up response times. Text to SQL isn't enough because the task is hard for current models - systems should instead run a multi-step workflow. Context and metadata can mean the difference between the right and wrong answer.