distilroberta-base-rejection-v1
> [!WARNING] > **THIS PROJECT HAS BEEN ARCHIVED.** > > This project and its associated code on GitHub are no longer under active development or maintained. This model is a fine-tuned version of distilroberta-base on multiple combined datasets of rejections from different LLMs and normal responses from RLHF datasets. It aims to identify rejections in LLMs when the prompt doesn't pass content moderation, classifying inputs into two categories: `0` for normal outputs and `1` for rejection detected.
번역 준비 중입니다. 원문을 표시합니다.
> [!WARNING] > **THIS PROJECT HAS BEEN ARCHIVED.** > > This project and its associated code on GitHub are no longer under active development or maintained. This model is a fine-tuned version of distilroberta-base on multiple combined datasets of rejections from different LLMs and normal responses from RLHF datasets. It aims to identify rejections in LLMs when the prompt doesn't pass content moderation, classifying inputs into two categories: `0` for normal outputs and `1` for rejection detected.
AI가 움직이고 미래가 업데이트됩니다.