来源:华尔街见闻
Ilya Sutskever表示,通过扩展预训练——即在训练AI模型时使用大量未标注数据来理解语言模式和结构的阶段——取得的效果已经触及瓶颈。
AI的寒冬真的要来了!Ilya接受路透社最新采访,你需要知道了几个事实
引述:“Ilya被广泛认为是通过预训练时使用更多数据和算力来推动生成式AI重大进展的早期倡导者,这种方法最终催生了ChatGPT。今年早些时候,Ilya离开OpenAI,创办了SSI。”
“Sutskever is widely credited as an early advocate of achieving massive leaps in generative AI advancement through t he use of more data and computing power in pre-training, which eventually created ChatGPT. Sutskever left OpenAI earlier this year to found SSI.”
引述:Ilya,我不想说“我早就说过了”,但事实就是如此
“I don‘t wanna say ”I told you so“, but I told you so.”
引述:“Safe Superintelligence(SSI)和OpenAI的联合创始人伊利亚·苏茨克维尔(Ilya Sutskever)表示:通过扩展预训练——即在训练AI模型时使用大量未标注数据来理解语言模式和结构的阶段——取得的效果已经触及瓶颈。”
“Ilya Sutskever, co-founder of AI labs Safe Superintelligence (SSI) and OpenAI, told Reuters recently that results from scaling up pre-training - the phase of training an AI model that uses a vast amount of unlabeled data to understand language patterns and structures - have plateaued.” ...
引述:Ilya的发言,“2010年代是扩展的时代,而现在我们又回到了充满奇迹和发现的时代。每个人都在寻找下一个突破,”Ilya说道。“如今,正确选择扩展的方向比以往任何时候都更为重要。”
“Ilya:The 2010s were the age of scaling, now we‘re back in the age of wonder and discovery once again. Everyone is looking for the next thing,” Sutskever said. “Scaling the right thing matters more now than ever.”
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