Safer-Instruct: Aligning Language Models with Automated Preference Data

Reinforcement learning from human feedback (RLHF) is a vital strategy for enhancing model capability in language models. However, annotating preference data for RLHF is a resource-intensive and creativity-demanding process, while existing automatic generation methods face limitations in data diversi...

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Hauptverfasser:	Shi, Taiwei, Chen, Kai, Zhao, Jieyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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