OpenAI分享了部署其语言模型的经验，强调实际滥用情况常与最初的担忧不同。该公司强调了当前评估方法的局限性，以及解决安全问题需要新的基准。OpenAI还指出，基础安全研究显著提高了AI系统的商业效用。 AI
排序理由 这是关于部署AI模型经验教训的评论，而不是新的模型发布或研究论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
OpenAI分享模型部署在AI安全和滥用方面的经验教训
报道来源 [2]
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Lessons learned on language model safety and misuse
We describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.
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Reducing Toxicity in Language Models
<!-- Toxicity prevents us from safely deploying powerful pretrained language models for real-world applications. To reduce toxicity in language models, in this post, we will delve into three aspects of the problem: training dataset collection, toxic content detection and model de…