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<br>[DeepSeek open-sourced](http://touringtreffen.nl) DeepSeek-R1, an LLM fine-tuned with reinforcement knowing (RL) to [enhance](https://gitlab.xfce.org) [reasoning ability](https://www.referall.us). DeepSeek-R1 attains outcomes on par with OpenAI's o1 design on [numerous](http://git.dgtis.com) criteria, [consisting](http://maitri.adaptiveit.net) of MATH-500 and [oeclub.org](https://oeclub.org/index.php/User:ElizbethChamplin) SWE-bench.<br> |
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<br>DeepSeek-R1 is based upon DeepSeek-V3, a mix of specialists (MoE) design recently [open-sourced](https://teengigs.fun) by DeepSeek. This base design is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented version of RL. The research [study team](https://spm.social) likewise [performed knowledge](https://cameotv.cc) [distillation](https://complexityzoo.net) from DeepSeek-R1 to [open-source Qwen](https://gitlab.rails365.net) and [wiki.whenparked.com](https://wiki.whenparked.com/User:OpalGmn46347349) Llama designs and released a number of variations of each |
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