Evaluation articles

5 articles about Evaluation, newest first.

• The Whack‑a‑Mole Problem in AI Teams: How to Break the Cycle — Discover why AI teams face a 'Whack‑a‑Mole' bug cycle and how LangChain’s Walker Ward turns user feedback into repeat‑free eval cases.
• Why AI‑Generated Videos Trick Our Brains (And How to Spot the Gaps) — A panel reveals that AI video preferences favor sharper, saturated outputs, but language struggles with subtle sensory details, leading to hidden reward hacks like wedding rings. Learn the technical limits and why they matter.
• How to Evaluate AI Agents: A Practical Guide for Developers — Learn practical ways to evaluate AI agents, use LLMs as judges, build real‑world test sets, and keep evaluation continuous.
• Why AI Evaluation Needs a 1950s Upgrade: Item Response Theory Explained — Discover how borrowing psychological measurement theory can make AI benchmarks smarter, cheaper, and harder to game.
• Why AI Model Evaluation Needs a 1950s Upgrade: Item Response Theory Explained — Discover how borrowing psychometric measurement theory can make AI benchmarks cheaper, harder to game, and more insightful.