✳flâneur — a map of the web's best reading

Agent Evaluation: A Detailed Guide

cameronrwolfe.substack.com · 11,387 words · saved by 2 readers

Best practices and common patterns for effectively evaluating AI agents...

Agent Evaluation: A Detailed Guide Best practices and common patterns for effectively evaluating AI agents... Cameron R. Wolfe, Ph.D. May 18, 2026 277 16 49 Share (from [1, 3, 8, 12]) Evaluation is one of the most important research areas for large language models (LLMs). Recently, patterns in LLM usage and evaluation have drastically changed. Whereas we previously evaluated LLMs using benchmarks composed of static questions or short conversations, we now have agent systems that operate over long time horizons and interact with the environment. Agents are difficult to properly evaluate due to

Explore this link on the map →

saved by

related reading