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+<br> DeepSeek-R1,  [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:ElviraLamarr892) an LLM fine-tuned with [support](https://bootlab.bg-optics.ru) learning (RL) to enhance thinking ability. DeepSeek-R1 attains results on par with OpenAI's o1 model on a number of standards, consisting of MATH-500 and [SWE-bench](http://makerjia.cn3000).<br>
+<br>DeepSeek-R1 is based on DeepSeek-V3, a mix of specialists (MoE) model recently open-sourced by DeepSeek. This base design is fine-tuned using Group Relative Policy Optimization (GRPO), a reasoning-oriented variation of RL. The research group likewise carried out [knowledge distillation](https://gitea.tgnotify.top) from DeepSeek-R1 to [open-source Qwen](https://gps-hunter.ru) and Llama models and released a number of variations of each
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