TASK-SPECIFIC LLM EVALS THAT DO & DON'T WORK

Summary from the TLDR newsletter

This post shares useful evaluations for large language models that focus on simple, common tasks like classification/extraction, summarization, and translation. The post also discusses the role of human evaluation and how to calibrate the evaluation bar to balance between potential benefits and risks. It was written to be accessible for those without a data science or machine learning background.