TDS Newsletter: How to Design Evals, Metrics, and KPIs That Work

This newsletter focuses on the challenges and best practices for designing effective evaluations, metrics, and KPIs in data science and AI. It highlights the importance of proper evaluation for achieving AI alignment and avoiding issues like metric deception, where KPIs can hide underlying failures. The content curates several articles on topics such as using AI to reduce noise in decision-making, the trend towards smaller language models, and using LLMs as judges to evaluate other models. It serves as a collection of recent insights and popular stories for data professionals.