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0:38
YouTube
Hamel Husain
Binary Evals vs. Rating Scales: One Actually Predicts User Satisfaction
High eval scores but poor user satisfaction is a signal your metrics are measuring the wrong thing. The issue comes down to how humans and AI interpret quality differently—and why numerical scales amplify that gap. When LLMs assign scores like 3.5 vs 3.8, they're not actually capturing meaningful quality differences. These gradations feel ...
1.9K views
1 month ago
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