Summary of O1 Replication Journey — Part 2: Surpassing O1-preview Through Simple Distillation, Big Progress or Bitter Lesson?, by Zhen Huang et al.
O1 Replication Journey – Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?
by Zhen Huang, Haoyang Zou, Xuefeng Li, Yixiu Liu, Yuxiang Zheng, Ethan Chern, Shijie Xia, Yiwei Qin, Weizhe Yuan, Pengfei Liu
First submitted to arxiv on: 25 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper critically examines current approaches to replicating OpenAI’s O1 model capabilities, focusing on the widespread use of knowledge distillation techniques. The authors show that simple distillation from O1’s API and supervised fine-tuning can achieve superior performance on complex mathematical reasoning tasks like the American Invitational Mathematics Examination (AIME). The study also explores generalization capabilities across diverse tasks such as hallucination, safety, and open-domain QA, demonstrating strong generalization to open-ended QA tasks. The authors argue that their findings promote transparency in AI research and challenge the trend of obscured technical claims. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how to copy OpenAI’s O1 model’s abilities. It finds a simple way to do this using a technique called knowledge distillation. This method helps a smaller model learn from a bigger, smarter model like O1. The study shows that this approach can do well on hard math problems and even work well on other tasks, like answering questions. The authors want people to know what they did so they can see how it works and maybe improve on it. |
Keywords
» Artificial intelligence » Distillation » Fine tuning » Generalization » Hallucination » Knowledge distillation » Supervised
