LLM Response Preference
Compare AI-generated responses to collect preference data for RLHF training.
Obtenir ce design
This design is available in our showcase. Copy the configuration below to get started.
Démarrage rapide :
# Create your project folder mkdir pairwise-preference cd pairwise-preference # Copy config.yaml from above potato start config.yaml
Détails
Types d'annotation
Domaine
Cas d'utilisation
Étiquettes
Designs associés
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Pairwise preference annotation for Direct Preference Optimization, based on Rafailov et al., NeurIPS 2023. Annotators compare two model responses to a prompt, select a preference, rate alignment dimensions, and provide reasoning.
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Compare two AI responses and select the better one while providing a written justification. Used for reward model training with interpretable preference signals.
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