DeepSeek Launches CODEI/O: Enhancing Large Model Inference with Thought Chains

DeepSeek's CODEI/O dataset enhances model reasoning by transforming code into natural language thought chains, improving performance across various reasoning tasks.

"AI Disruption" publication New Year 30% discount link.

---

Training large models with code can also enhance reasoning abilities in other areas.

The DeepSeek team's latest research utilizes over 3 million instances to transform code into thought processes. They created a dataset called CODEI/O to train models such as Qwen and Llama.

The results showed a significant improvement in model performance across various types of reasoning tasks, including demonstrating strong transferability in non-code reasoning tasks.

The research team believes that code contains implicit thought processes for various scenarios and aims to "extract" these processes to train reasoning models.