『Self-Rewarding Language Models』のカバーアート

Self-Rewarding Language Models

Self-Rewarding Language Models

無料で聴く

ポッドキャストの詳細を見る

【Amazonプライム会員限定】今ならプレミアムプランが4か月 月額99円。

10月19日まで。※適用条件あり
In this episode, we discuss Self-Rewarding Language Models by Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston. The paper proposes training language models to give themselves feedback using a self-rewarding approach, bypassing the limitations of human-labeled reward models. By iteratively fine-tuning Llama 2 70B with this method, the model improves both its instruction-following and self-assessment abilities. The resulting model surpasses several top systems, demonstrating the potential for continual self-improvement in AI agents.
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません