핵심 개념
ConstitutionalExperts introduces a method for learning principle-based prompts, outperforming other techniques by 10.9% and showcasing the effectiveness of a mixture-of-experts architecture.
초록
Large language models excel with the right prompt but crafting one remains challenging.
ConstitutionalExperts incrementally enhances prompts by editing individual principles.
Unique prompts for semantic regions improve overall performance.
Comparison with other techniques across benchmark datasets.
MoE enhances all techniques, indicating broad applicability.
Method involves clustering, training experts, and routing at inference.
Evaluation shows significant improvement over baselines.
Future work includes exploring different NLP tasks and human interventions.
통계
Large language models are highly capable at a variety of tasks given the right prompt.
ConstitutionalExperts outperforms other prompt optimization techniques by 10.9% (F1).
MoE improves all techniques, suggesting its broad applicability.
인용구
"ConstitutionalExperts outperforms other prompt optimization techniques by 10.9% (F1) and that mixture-of-experts improves all techniques, suggesting its broad applicability."