Human preference has emerged to be both the Northstar and a powerful tool for AI model development. Human preference guides post-training techniques includin...

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Human preference is a crucial tool for AI model development and can be used for model ranking and model routing. Predictive human preference can help improve response quality, reduce costs, and provide insights into a model's strengths and weaknesses. The preference predictor has an accuracy of 75-76.2% in non-tie matches.

Predictive Human Preference: From Model Ranking to Model Routing

Predicting Human Preference For Each Prompt