Goodhart's Law states, "When a measure becomes a target, it ceases to be a good measure."
This applies to our favorite LLM models, too, meaning that as they optimize for scoring high on benchmarks, how do we know that's also good for real-world performance like accuracy, latency, or user engagement?
A/B testing AI models helps give you real feedback on how your LLM and its configuration is performing.
This applies to our favorite LLM models, too, meaning that as they optimize for scoring high on benchmarks, how do we know that's also good for real-world performance like accuracy, latency, or user engagement?
A/B testing AI models helps give you real feedback on how your LLM and its configuration is performing.