近期发现Gemini、Claude、Kimi、DeepSeek等主流大模型在随机角色扮演中,均有极高概率生成“苏晚晴”这一特定名字。这一现象并非巧合,而是训练数据库污染及模型蒸馏过程中数据同质化的体现。该缺陷源于早期模型的数据偏差,并在后续模型通过蒸馏学习时被继承和放大,折射出当前AI行业面临的数据质量与模型迭代中的深层隐患。
原文链接:Linux.do
近期发现Gemini、Claude、Kimi、DeepSeek等主流大模型在随机角色扮演中,均有极高概率生成“苏晚晴”这一特定名字。这一现象并非巧合,而是训练数据库污染及模型蒸馏过程中数据同质化的体现。该缺陷源于早期模型的数据偏差,并在后续模型通过蒸馏学习时被继承和放大,折射出当前AI行业面临的数据质量与模型迭代中的深层隐患。
原文链接:Linux.do
最新评论
i2znfo
Your point of view caught my eye and was very interesting. Thanks. I have a question for you.
Thanks for sharing. I read many of your blog posts, cool, your blog is very good. https://www.binance.info/register?ref=IHJUI7TF
Everyone loves what you guys tend to be up too. This sort of clever work and coverage! Keep up the excellent works guys I've incorporated you guys to blogroll.
handwritten synonym
Your article helped me a lot, is there any more related content? Thanks! https://www.binance.info/sl/register?ref=GQ1JXNRE
Can you be more specific about the content of your article? After reading it, I still have some doubts. Hope you can help me. https://accounts.binance.info/en/register-person?ref=JHQQKNKN
Thanks for sharing. I read many of your blog posts, cool, your blog is very good. https://accounts.binance.info/register-person?ref=IXBIAFVY