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DeepSeek open-sourced DeepSeek-R1, an LLM [fine-tuned](https://git.xhkjedu.com) with reinforcement learning (RL) to enhance thinking ability. DeepSeek-R1 attains results on par with OpenAI's o1 design on numerous standards, [wiki.dulovic.tech](https://wiki.dulovic.tech/index.php/User:JakeLaTrobe319) including MATH-500 and [yewiki.org](https://www.yewiki.org/User:RobbinRoderic82) SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of professionals (MoE) design recently open-sourced by DeepSeek. This base design is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](https://alapcari.com) of RL. The research study group also carried out understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released a number of variations of each
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