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DeepSeek-R1: Reasoning via Reinforcement Learning

· 19 min.

Episodebeskrivelse

This research paper introduces DeepSeek-R1, a large language model enhanced for reasoning capabilities using reinforcement learning (RL). Two versions are presented: DeepSeek-R1-Zero, trained purely via RL without supervised fine-tuning, and DeepSeek-R1, which incorporates additional multi-stage training and cold-start data for improved readability and performance. DeepSeek-R1 achieves results comparable to OpenAI's o1-1217 on various reasoning benchmarks. The study also explores distilling DeepSeek-R1's reasoning capabilities into smaller, more efficient models, achieving state-of-the-art…

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