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<br>DeepSeek open-sourced DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to [improve](http://koceco.co.kr) thinking capability. DeepSeek-R1 attains results on par with o1 design on numerous benchmarks, consisting of MATH-500 and [SWE-bench](http://begild.top8418).<br> |
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<br>DeepSeek-R1 is based upon DeepSeek-V3, a mixture of experts (MoE) design just recently open-sourced by DeepSeek. This base model is fine-tuned utilizing Group Relative Policy [Optimization](https://www.trabahopilipinas.com) (GRPO), [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:TraceyPrell3) a [reasoning-oriented variant](http://jenkins.stormindgames.com) of RL. The research group likewise performed knowledge [distillation](https://fydate.com) from DeepSeek-R1 to [open-source Qwen](https://source.futriix.ru) and Llama [designs](https://gitea.gai-co.com) and launched numerous versions of each |
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