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features/create_judge/create_judge_example.py
@@ -79,9 +79,10 @@ async def async_main():
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judge_result = await judge.evaluate(input_text, output_text)
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- # Track the judge evaluation scores on the tracker for the aiConfig you are evaluating
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- # Example:
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- # aiConfig.create_tracker().track_judge_result(judge_result)
+ # If the output you're judging came from another AI Config, track the
+ # result on that config's tracker so the metric is attributed to the
+ # right config:
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+ # ai_config.create_tracker().track_judge_result(judge_result)
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print("\nJudge result:")
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print(f"- judge_config_key: {judge_key}")
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