DeepSeek R1: Chain of Thought, Reinforcement Learning, and Distillation

DeepSeek R1, a new large language model from China, is described, highlighting three key techniques: Chain of Thought prompting to improve reasoning and self-evaluation; reinforcement learning, specifically Group Relative Policy Optimization, enabling the model to learn independently and optimize its performance without needing labeled data; and model distillation, creating smaller, more accessible versions of the model while maintaining high accuracy. These techniques allow DeepSeek R1 to achieve performance comparable to, and eventually surpassing, OpenAI's models in tasks like math, coding, and scientific reasoning. The model's innovative training methods are explained, emphasizing its efficiency and potential to democratize access to advanced AI.

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