Evals
You can't improve an AI system you can't measure. These posts show how to build a small test set, grade results honestly, handle nondeterminism, and notice when a change made things worse.
2 articles tagged Evals.
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Why LLMs hallucinate and what actually reduces it
Hallucinations aren't random glitches. They follow from how language models are trained and evaluated. Understanding the causes points to the fixes that work: grounding, tools, constrained answers, verification, and honest evaluation.
How to evaluate an AI agent without fooling yourself
An agent that works in a demo can fail one run in three in production. This guide shows how to build a small evaluation suite, grade results honestly, handle nondeterminism, and avoid the traps that make scores look better than reality.