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Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?Summary
This research paper examines the replication of OpenAI's O1 model, focusing on a knowledge distillation method. The authors demonstrate that a simpler distillation approach, combined with fine-tuning, surpasses the O1-preview model's performance on mathematical reasoning tasks. They also explore the generalization capabilities of this distilled model to other tasks, including safety and open-domain question answering. A key finding highlights the limitations and potential risks of over-reliance on distillation, advocating for a renewed focus on fundamental research and transparency in AI. A novel benchmark framework, the Technical Transparency Index (TTI), is introduced to assess the reproducibility and openness of different O1 replication attempts.
原文链接:https://arxiv.org/abs/2411.16489
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?Summary
This research paper examines the replication of OpenAI's O1 model, focusing on a knowledge distillation method. The authors demonstrate that a simpler distillation approach, combined with fine-tuning, surpasses the O1-preview model's performance on mathematical reasoning tasks. They also explore the generalization capabilities of this distilled model to other tasks, including safety and open-domain question answering. A key finding highlights the limitations and potential risks of over-reliance on distillation, advocating for a renewed focus on fundamental research and transparency in AI. A novel benchmark framework, the Technical Transparency Index (TTI), is introduced to assess the reproducibility and openness of different O1 replication attempts.
原文链接:https://arxiv.org/abs/2411.16489