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technique
Optimizer-evaluator pattern
1 creator use or recommend it
▲ 1 active in the last 90 days
1 use
Last discussed Oct 30, 2026
Technique of first optimizing an LLM judge against labeled data, then using that judge to optimize the target task.
Recently discussed in
Context Engineering With DSPy
Mike Taylor · Oct 30, 2026
What creators say
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Mike Taylor
uses
Used for: Optimizing subjective tasks such as humanizing text and creating AI personas
Praised: Makes subjective tasks measurable via a validated judge
vs: Avoids manually judging thousands of outputs
"One of the tricks I like to do in DSPy... it's called an optimizer evaluator pattern. If I have a subjective test like, 'Hey, does this rewritten text look like AI?' I will first use DSPy to train the judge and then I'll use the judge to train the..."
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